{
  "count": 83,
  "per_page": 20,
  "current_page": 1,
  "total_pages": 5,
  "next": "https://himalayas-scraper.omkar.cloud/himalayas/companies/jobs?company=netflix&page=2",
  "previous": null,
  "jobs": [
    {
      "id": "netflix/executive-producer-mainstream-narrative-new-experiences-games",
      "title": "Executive Producer - Mainstream, Narrative & New Experiences (Games)",
      "link": "https://himalayas.app/companies/netflix/jobs/executive-producer-mainstream-narrative-new-experiences-games",
      "company": {
        "name": "Netflix",
        "slug": "netflix",
        "link": "https://himalayas.app/companies/netflix",
        "logo_link": "https://cdn-images.himalayas.app/6gtq4bkamlky0cuwvxi3m3t60689",
        "is_verified": null
      },
      "employment_type": "full-time",
      "seniority": [
        "executive"
      ],
      "salary": {
        "min": 350000,
        "max": 700000,
        "currency": "USD",
        "period": "annual"
      },
      "location": {
        "countries": [
          "United States"
        ],
        "is_worldwide": false,
        "timezone_offsets": [
          -10,
          -9,
          -8,
          -7,
          -6,
          -5,
          14
        ],
        "has_timezone_restriction": true
      },
      "categories": [
        {
          "name": "Executive Producer",
          "slug": "executive-producer"
        },
        {
          "name": "Game Producer",
          "slug": "game-producer"
        },
        {
          "name": "Senior Producer",
          "slug": "senior-producer"
        },
        {
          "name": "Video Game Producer",
          "slug": "video-game-producer"
        },
        {
          "name": "Gaming Executive",
          "slug": "gaming-executive"
        }
      ],
      "parent_categories": [
        {
          "name": "Product",
          "slug": "product"
        }
      ],
      "skills": null,
      "requirements": null,
      "excerpt": "At Netflix, our mission is to entertain the world.",
      "description_html": "<p>At <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.</p><p>This is your chance to be at the forefront of <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>’s new offering of Games. We will bring these new experiences to market through the world's leading streaming entertainment app with 300 million paid memberships in over 190 countries who are already enjoying TV series, documentaries and feature films across a wide variety of genres and languages.</p><br><p>Members can watch as much as they want, anytime, anywhere, and now they can enjoy mobile + cloud games anytime, anywhere with a collection of <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> curated and produced Games. At <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>, we have an insatiable need to continually improve our product experience and the creative elements that support it and this team sits at the forefront of the effort.</p><br><p>As an Executive Producer for the Mainstream, Narrative and New Experiences Portfolio, you will be an operational and creative leader in our game development process, driving strategic initiatives and ensuring excellence across a large portfolio of games. As a strategic partner to the General Manager, you will work to turn the portfolio strategy into games for our players.</p><br><p>Drawing from deep experience in developing, operating, and publishing games, you will influence the portfolio, overall game strategy and deliver high-quality outcomes. Your role will involve managing a team of producers, fostering a culture of innovation, collaboration, creative execution, and continuous improvement while delivering amazing game experiences to our players.</p><h3><b>Responsibilities:</b></h3><br><ul>\n<li>\n<b>Executive Production:</b> Accountable for portfolio-level production excellence. You will work with the General Manager to ensure successful execution of the GM’s portfolio strategy. You will focus on quality, predictability, and performance of the titles in your portfolio while considering the overall <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> Games goals.</li>\n<li>\n<b>Strategic Leadership:</b> Influence and shape the overall games production strategy, leveraging your recognized industry expertise to drive the success of our portfolio.</li>\n<li>\n<b>People Leadership:</b> Lead and mentor a team of producers, guiding them to deliver high quality games, while maintaining healthy team culture: collaborative, transparent, motivated, committed, and focused on realistic goals. You will draw on your experience to help identify risks and mitigate them.</li>\n<li>\n<b>Cross-Functional Leadership:</b>Build bridges to connect with strategic partners, solving complex issues across wider cross-functional teams.</li>\n<li>\n<b>Game Expert:</b>Subject matter expert in game development, helps ensure the game vision and feature choices align with player tastes. You should be player-focused and genuinely care about the player experience, including curiosity about player community and feedback</li>\n<li>\n<b>Strategic Initiative Ownership:</b> Identify and drive initiatives central to the growing success of the team, ensuring alignment with strategic goals.</li>\n<li>\n<b>Game Champion:</b> Serve as an internal advocate for your games, crafting and presenting product updates to various audiences, providing the right level of detail and visibility into milestones and challenges to stakeholders and partners</li>\n</ul><br><h3><b>Qualifications:</b></h3><br><ul>\n<li>15+ years of experience in Video Game Production, with expertise in Development, Publishing and LiveOps. Deep toolkit of production processes, with the judgment to select and adapt the right tools to ever-changing requirements.</li>\n<li>Proven success in managing large portfolios and delivering high-quality game production outcomes at various scales (from team-level to AAA) and running live games at scale to players all over the world</li>\n<li>Strong understanding of end-to-end game development processes, including design, programming, art, and audio.</li>\n<li>Ability to manage multiple projects and prioritize tasks effectively in an ever-evolving, fast-paced environment.</li>\n<li>Knowledge of first-party (platform-holder) processes and requirements</li>\n<li>Experience in managing co-dev and outsourcing partners</li>\n<li>Excellent communication skills for conveying complex ideas and presenting to stakeholders at all levels. Skilled at stakeholder management</li>\n<li>Strong analytical and creative problem-solving skills to assess progress and address development challenges. Uses data to help answer questions about the game, audience, and development process</li>\n<li>Experienced at change management, balancing ‘farming for dissent’ against execution</li>\n<li>Experience in managing project budgets and making cost-effective decisions without compromising quality.</li>\n<li>Knowledge of quality assurance processes and coordinating testing to ensure high standards.</li>\n<li>Able to manage project to quality while staying on schedule and budget</li>\n<li>Strong leadership and management skills to motivate teams and maintain a positive, productive environment.</li>\n<li>Up-to-date with industry trends, player preferences, and competitive landscape.</li>\n<li>Openness to feedback and adaptability to changing project requirements.</li>\n<li>Passion for gaming and understanding of various game genres and platforms.</li>\n</ul><br><h3><b>Location:</b></h3><br><ul>\n<li>Los Angeles metro area preferred</li>\n<li>Remote OK with regular travel to LA</li>\n</ul><br>Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $350,000.00 - $700,000.00. This compensation range will vary based on location.<p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.</p><p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> is a unique culture and environment. Learn more here.</p><p>Inclusionis a <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.</p><p>We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</p><p>Job is open for no less than 7 days and will be removed when the position is filled.</p><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>",
      "description_text": "At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.\n\nThis is your chance to be at the forefront of Netflix’s new offering of Games. We will bring these new experiences to market through the world's leading streaming entertainment app with 300 million paid memberships in over 190 countries who are already enjoying TV series, documentaries and feature films across a wide variety of genres and languages.\n\nMembers can watch as much as they want, anytime, anywhere, and now they can enjoy mobile + cloud games anytime, anywhere with a collection of Netflix curated and produced Games. At Netflix, we have an insatiable need to continually improve our product experience and the creative elements that support it and this team sits at the forefront of the effort.\n\nAs an Executive Producer for the Mainstream, Narrative and New Experiences Portfolio, you will be an operational and creative leader in our game development process, driving strategic initiatives and ensuring excellence across a large portfolio of games. As a strategic partner to the General Manager, you will work to turn the portfolio strategy into games for our players.\n\nDrawing from deep experience in developing, operating, and publishing games, you will influence the portfolio, overall game strategy and deliver high-quality outcomes. Your role will involve managing a team of producers, fostering a culture of innovation, collaboration, creative execution, and continuous improvement while delivering amazing game experiences to our players.\n\nResponsibilities:\n\n-\nExecutive Production: Accountable for portfolio-level production excellence. You will work with the General Manager to ensure successful execution of the GM’s portfolio strategy. You will focus on quality, predictability, and performance of the titles in your portfolio while considering the overall Netflix Games goals.\n\n-\nStrategic Leadership: Influence and shape the overall games production strategy, leveraging your recognized industry expertise to drive the success of our portfolio.\n\n-\nPeople Leadership: Lead and mentor a team of producers, guiding them to deliver high quality games, while maintaining healthy team culture: collaborative, transparent, motivated, committed, and focused on realistic goals. You will draw on your experience to help identify risks and mitigate them.\n\n-\nCross-Functional Leadership:Build bridges to connect with strategic partners, solving complex issues across wider cross-functional teams.\n\n-\nGame Expert:Subject matter expert in game development, helps ensure the game vision and feature choices align with player tastes. You should be player-focused and genuinely care about the player experience, including curiosity about player community and feedback\n\n-\nStrategic Initiative Ownership: Identify and drive initiatives central to the growing success of the team, ensuring alignment with strategic goals.\n\n-\nGame Champion: Serve as an internal advocate for your games, crafting and presenting product updates to various audiences, providing the right level of detail and visibility into milestones and challenges to stakeholders and partners\n\nQualifications:\n- 15+ years of experience in Video Game Production, with expertise in Development, Publishing and LiveOps. Deep toolkit of production processes, with the judgment to select and adapt the right tools to ever-changing requirements.\n- Proven success in managing large portfolios and delivering high-quality game production outcomes at various scales (from team-level to AAA) and running live games at scale to players all over the world\n- Strong understanding of end-to-end game development processes, including design, programming, art, and audio.\n- Ability to manage multiple projects and prioritize tasks effectively in an ever-evolving, fast-paced environment.\n- Knowledge of first-party (platform-holder) processes and requirements\n- Experience in managing co-dev and outsourcing partners\n- Excellent communication skills for conveying complex ideas and presenting to stakeholders at all levels. Skilled at stakeholder management\n- Strong analytical and creative problem-solving skills to assess progress and address development challenges. Uses data to help answer questions about the game, audience, and development process\n- Experienced at change management, balancing ‘farming for dissent’ against execution\n- Experience in managing project budgets and making cost-effective decisions without compromising quality.\n- Knowledge of quality assurance processes and coordinating testing to ensure high standards.\n- Able to manage project to quality while staying on schedule and budget\n- Strong leadership and management skills to motivate teams and maintain a positive, productive environment.\n- Up-to-date with industry trends, player preferences, and competitive landscape.\n- Openness to feedback and adaptability to changing project requirements.\n- Passion for gaming and understanding of various game genres and platforms.\n\nLocation:\n- Los Angeles metro area preferred\n- Remote OK with regular travel to LA\n\nGenerally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $350,000.00 - $700,000.00. This compensation range will vary based on location.\nNetflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.\n\nNetflix is a unique culture and environment. Learn more here.\n\nInclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.\n\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.\n\nJob is open for no less than 7 days and will be removed when the position is filled.\n\nOriginally posted on Himalayas",
      "published_at": "2026-10-12T05:54:12Z",
      "expires_at": "2026-12-11T05:54:11Z"
    },
    {
      "id": "netflix/ai-research-scientist-4-5-generative-models-recommender-systems",
      "title": "AI Research Scientist 4/5 - Generative Models, Recommender Systems",
      "link": "https://himalayas.app/companies/netflix/jobs/ai-research-scientist-4-5-generative-models-recommender-systems",
      "company": {
        "name": "Netflix",
        "slug": "netflix",
        "link": "https://himalayas.app/companies/netflix",
        "logo_link": "https://cdn-images.himalayas.app/6gtq4bkamlky0cuwvxi3m3t60689",
        "is_verified": null
      },
      "employment_type": "full-time",
      "seniority": [
        "senior"
      ],
      "salary": {
        "min": 300000,
        "max": 537000,
        "currency": "USD",
        "period": "annual"
      },
      "location": {
        "countries": [
          "United States"
        ],
        "is_worldwide": false,
        "timezone_offsets": [
          -10,
          -9,
          -8,
          -7,
          -6,
          -5,
          14
        ],
        "has_timezone_restriction": true
      },
      "categories": [
        {
          "name": "AI Research Scientist",
          "slug": "ai-research-scientist"
        },
        {
          "name": "Machine Learning Scientist",
          "slug": "machine-learning-scientist"
        },
        {
          "name": "Research Scientist",
          "slug": "research-scientist"
        },
        {
          "name": "Generative AI Engineer",
          "slug": "generative-ai-engineer"
        },
        {
          "name": "AI ML Research Scientist",
          "slug": "ai-ml-research-scientist"
        },
        {
          "name": "AI Research Scientist Positions",
          "slug": "ai-research-scientist-positions"
        },
        {
          "name": "Recommendation Systems Scientist",
          "slug": "recommendation-systems-scientist"
        },
        {
          "name": "Machine Learning Research Scientist",
          "slug": "machine-learning-research-scientist"
        },
        {
          "name": "Applied AI Research Scientist",
          "slug": "applied-ai-research-scientist"
        },
        {
          "name": "Senior AI ML Scientist",
          "slug": "senior-ai-ml-scientist"
        }
      ],
      "parent_categories": [
        {
          "name": "Data Science",
          "slug": "data-science"
        }
      ],
      "skills": null,
      "requirements": null,
      "excerpt": "At Netflix, our mission is to entertain the world.",
      "description_html": "<p>At <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.</p><p>The Promotional Assets &amp; Creative Technology AIMS team is at the forefront of <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>'s efforts to effectively promote titles and enhance the content discovery experience. We are looking for a seasoned Machine Learning Scientist to design and develop innovative Machine Learning (ML) solutions. In this rare opportunity, you will have the chance to define the direction for algorithmic strategies and spearhead the execution of ML solutions and ultimately shape how titles are promoted on <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> and discovered by our members.</p><h3>Responsibilities</h3><ul>\n<li><p>Track advancements in LLM and generative model research, and translate them into concrete opportunities for the problem space we are working on.</p></li>\n<li><p>Apply state-of-the-art techniques to high-impact problems such as summarization quality and building LLM-based evaluators (\"judges\") that assess whether generated content meets quality bars.</p></li>\n<li><p>Lead end-to-end ML development on these problems: research, model training, and evaluation.</p></li>\n<li><p>Optimize generated content for member impact, treating content generation and audience targeting as coupled problems — drawing on recommendation systems thinking to ensure generated assets are optimized for the members they're meant to reach.</p></li>\n<li><p>Partner with ML scientists and engineers to integrate models into business applications and platforms.</p></li>\n<li><p>Translate complex technical concepts for both technical and non-technical stakeholders to inform strategic decisions.</p></li>\n<li><p>Act as a subject matter expert, working cross-functionally to identify high-impact opportunities and define and execute roadmaps.</p></li>\n<li><p>Engage with the ML community, internal and external, to learn, to teach, and to contribute to building a great <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> brand.</p></li>\n</ul><h3>About you</h3><ul>\n<li><p>Demonstrated habit of tracking the LLM/generative model literature and a knack for spotting which advances are relevant to real business problems.</p></li>\n<li><p>Strong foundation in ML and Deep Learning, especially in Natural Language Processing / Understanding and Generation. Research experience in summarization or generated-text evaluation (e.g., LLM-as-judge methods) is a big plus; background in vision models such as diffusion models is a plus.</p></li>\n<li><p>Expertise in one or more LLM post-training approaches.</p></li>\n<li><p>Experience with recommendation systems, personalization, or other member-facing optimization systems is a strong plus.</p></li>\n</ul>Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $300,000.00 - $537,000.00. This compensation range will vary based on location.<p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.</p><p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> is a unique culture and environment. Learn more here.</p><p>Inclusionis a <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.</p><p>We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</p><p>Job is open for no less than 7 days and will be removed when the position is filled.</p><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>",
      "description_text": "At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.\n\nThe Promotional Assets & Creative Technology AIMS team is at the forefront of Netflix's efforts to effectively promote titles and enhance the content discovery experience. We are looking for a seasoned Machine Learning Scientist to design and develop innovative Machine Learning (ML) solutions. In this rare opportunity, you will have the chance to define the direction for algorithmic strategies and spearhead the execution of ML solutions and ultimately shape how titles are promoted on Netflix and discovered by our members.\n\nResponsibilities\n\n-\nTrack advancements in LLM and generative model research, and translate them into concrete opportunities for the problem space we are working on.\n\n-\nApply state-of-the-art techniques to high-impact problems such as summarization quality and building LLM-based evaluators (\"judges\") that assess whether generated content meets quality bars.\n\n-\nLead end-to-end ML development on these problems: research, model training, and evaluation.\n\n-\nOptimize generated content for member impact, treating content generation and audience targeting as coupled problems — drawing on recommendation systems thinking to ensure generated assets are optimized for the members they're meant to reach.\n\n-\nPartner with ML scientists and engineers to integrate models into business applications and platforms.\n\n-\nTranslate complex technical concepts for both technical and non-technical stakeholders to inform strategic decisions.\n\n-\nAct as a subject matter expert, working cross-functionally to identify high-impact opportunities and define and execute roadmaps.\n\n-\nEngage with the ML community, internal and external, to learn, to teach, and to contribute to building a great Netflix brand.\n\nAbout you\n\n-\nDemonstrated habit of tracking the LLM/generative model literature and a knack for spotting which advances are relevant to real business problems.\n\n-\nStrong foundation in ML and Deep Learning, especially in Natural Language Processing / Understanding and Generation. Research experience in summarization or generated-text evaluation (e.g., LLM-as-judge methods) is a big plus; background in vision models such as diffusion models is a plus.\n\n-\nExpertise in one or more LLM post-training approaches.\n\n-\nExperience with recommendation systems, personalization, or other member-facing optimization systems is a strong plus.\n\nGenerally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $300,000.00 - $537,000.00. This compensation range will vary based on location.\nNetflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.\n\nNetflix is a unique culture and environment. Learn more here.\n\nInclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.\n\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.\n\nJob is open for no less than 7 days and will be removed when the position is filled.\n\nOriginally posted on Himalayas",
      "published_at": "2026-10-10T13:46:25Z",
      "expires_at": "2026-12-09T13:46:24Z"
    },
    {
      "id": "netflix/senior-game-engineer-gen-ai-games",
      "title": "Senior Game Engineer, Gen AI - Games",
      "link": "https://himalayas.app/companies/netflix/jobs/senior-game-engineer-gen-ai-games",
      "company": {
        "name": "Netflix",
        "slug": "netflix",
        "link": "https://himalayas.app/companies/netflix",
        "logo_link": "https://cdn-images.himalayas.app/6gtq4bkamlky0cuwvxi3m3t60689",
        "is_verified": null
      },
      "employment_type": "full-time",
      "seniority": [
        "senior"
      ],
      "salary": {
        "min": 315000,
        "max": 535000,
        "currency": "USD",
        "period": "annual"
      },
      "location": {
        "countries": [
          "United States"
        ],
        "is_worldwide": false,
        "timezone_offsets": [
          -10,
          -9,
          -8,
          -7,
          -6,
          -5,
          14
        ],
        "has_timezone_restriction": true
      },
      "categories": [
        {
          "name": "Senior Game Engineer",
          "slug": "senior-game-engineer"
        },
        {
          "name": "Game Developer",
          "slug": "game-developer"
        },
        {
          "name": "Gameplay Engineer",
          "slug": "gameplay-engineer"
        },
        {
          "name": "AI Engineer",
          "slug": "ai-engineer"
        },
        {
          "name": "Technical Game Designer",
          "slug": "technical-game-designer"
        },
        {
          "name": "Generative AI Engineer",
          "slug": "generative-ai-engineer"
        },
        {
          "name": "Senior Gen AI Developer",
          "slug": "senior-gen-ai-developer"
        },
        {
          "name": "Senior Game Engine Developer",
          "slug": "senior-game-engine-developer"
        },
        {
          "name": "Senior Gameplay Engineer",
          "slug": "senior-gameplay-engineer"
        },
        {
          "name": "Senior Game Systems Engineer",
          "slug": "senior-game-systems-engineer"
        },
        {
          "name": "Senior Unity Game Engineer",
          "slug": "senior-unity-game-engineer"
        }
      ],
      "parent_categories": [
        {
          "name": "Developer",
          "slug": "developer"
        },
        {
          "name": "Data Science",
          "slug": "data-science"
        }
      ],
      "skills": null,
      "requirements": null,
      "excerpt": "At Netflix, our mission is to entertain the world.",
      "description_html": "<p>At <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.</p><p>We are seeking a Senior Game Engineer who is passionate about the next frontier of interactive storytelling and player agency. In this role, you won’t just be building models; you’ll be building experiences. You will leverage Generative AI to break traditional scripted boundaries, creating dynamic gameplay systems that respond to players in ways previously thought impossible.</p><br><h3>Key Responsibilities</h3><br><ul>\n<li>Design-Led Engineering: Work elbow-to-elbow with Game Designers to prototype and ship AI-augmented gameplay.</li>\n<li>Player-Centric AI: Implement GenAI features that directly enhance the player experience, ensuring that AI-generated content feels intentional, high-quality, and - most importantly - fun.</li>\n<li>Core Systems Integration: Architect how GenAI hooks into core game systems (AI behavior trees, narrative engines, and world-building tools) to ensure seamless, low-latency performance.</li>\n<li>Guardrails &amp; UX: Develop the \"logic layer\" that sits between raw AI outputs and the player, ensuring content remains on-theme, safe, and balanced within the game's mechanics.</li>\n<li>Rapid Gameplay Iteration: Use GenAI to accelerate the \"find the fun\" phase of development, building internal tools that allow for faster level blocking, asset variation, and playtesting loops.</li>\n<li>Technical Troubleshooting: Debug complex interactions where AI systems meet deterministic game logic, maintaining the stability of the live game environment.</li>\n</ul><br><h3>Qualifications</h3><br><ul>\n<li>Gameplay Engineering Core: 5+ years of professional experience in game development. You have a deep understanding of game architecture, player controllers, and real-time systems.</li>\n<li>Applied GenAI Skills: Proven experience using LLMs or Diffusion models to solve specific product problems. You know how to prompt, fine-tune, and chain models to get predictable results in an unpredictable game world.</li>\n<li>Systems Thinker: You understand how a change in an AI's \"personality\" or \"generation parameters\" affects game balance and the overall player journey.</li>\n<li>Technical Proficiency: Expert-level C++ or C# (Unity/Unreal) and a grasp of Python for tooling and data pipelines.</li>\n<li>Passion for Innovation: You are excited by \"impossible\" design challenges and believe GenAI is the key to unlocking new genres of play.</li>\n</ul>Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $315,000.00 - $535,000.00. This compensation range will vary based on location.<p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.</p><p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> is a unique culture and environment. Learn more here.</p><p>Inclusionis a <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.</p><p>We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</p><p>Job is open for no less than 7 days and will be removed when the position is filled.</p><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>",
      "description_text": "At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.\n\nWe are seeking a Senior Game Engineer who is passionate about the next frontier of interactive storytelling and player agency. In this role, you won’t just be building models; you’ll be building experiences. You will leverage Generative AI to break traditional scripted boundaries, creating dynamic gameplay systems that respond to players in ways previously thought impossible.\n\nKey Responsibilities\n- Design-Led Engineering: Work elbow-to-elbow with Game Designers to prototype and ship AI-augmented gameplay.\n- Player-Centric AI: Implement GenAI features that directly enhance the player experience, ensuring that AI-generated content feels intentional, high-quality, and - most importantly - fun.\n- Core Systems Integration: Architect how GenAI hooks into core game systems (AI behavior trees, narrative engines, and world-building tools) to ensure seamless, low-latency performance.\n- Guardrails & UX: Develop the \"logic layer\" that sits between raw AI outputs and the player, ensuring content remains on-theme, safe, and balanced within the game's mechanics.\n- Rapid Gameplay Iteration: Use GenAI to accelerate the \"find the fun\" phase of development, building internal tools that allow for faster level blocking, asset variation, and playtesting loops.\n- Technical Troubleshooting: Debug complex interactions where AI systems meet deterministic game logic, maintaining the stability of the live game environment.\n\nQualifications\n- Gameplay Engineering Core: 5+ years of professional experience in game development. You have a deep understanding of game architecture, player controllers, and real-time systems.\n- Applied GenAI Skills: Proven experience using LLMs or Diffusion models to solve specific product problems. You know how to prompt, fine-tune, and chain models to get predictable results in an unpredictable game world.\n- Systems Thinker: You understand how a change in an AI's \"personality\" or \"generation parameters\" affects game balance and the overall player journey.\n- Technical Proficiency: Expert-level C++ or C# (Unity/Unreal) and a grasp of Python for tooling and data pipelines.\n- Passion for Innovation: You are excited by \"impossible\" design challenges and believe GenAI is the key to unlocking new genres of play.\n\nGenerally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $315,000.00 - $535,000.00. This compensation range will vary based on location.\nNetflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.\n\nNetflix is a unique culture and environment. Learn more here.\n\nInclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.\n\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.\n\nJob is open for no less than 7 days and will be removed when the position is filled.\n\nOriginally posted on Himalayas",
      "published_at": "2026-10-09T22:25:20Z",
      "expires_at": "2026-12-08T22:25:19Z"
    },
    {
      "id": "netflix/analytics-engineer-5-demand-science",
      "title": "Analytics Engineer 5 - Demand Science",
      "link": "https://himalayas.app/companies/netflix/jobs/analytics-engineer-5-demand-science",
      "company": {
        "name": "Netflix",
        "slug": "netflix",
        "link": "https://himalayas.app/companies/netflix",
        "logo_link": "https://cdn-images.himalayas.app/6gtq4bkamlky0cuwvxi3m3t60689",
        "is_verified": null
      },
      "employment_type": "full-time",
      "seniority": [
        "senior"
      ],
      "salary": {
        "min": 330000,
        "max": 566000,
        "currency": "USD",
        "period": "annual"
      },
      "location": {
        "countries": [
          "United States"
        ],
        "is_worldwide": false,
        "timezone_offsets": [
          -10,
          -9,
          -8,
          -7,
          -6,
          -5,
          14
        ],
        "has_timezone_restriction": true
      },
      "categories": [
        {
          "name": "Analytics Engineer",
          "slug": "analytics-engineer"
        },
        {
          "name": "Data Analyst",
          "slug": "data-analyst"
        },
        {
          "name": "Business Intelligence Analyst",
          "slug": "business-intelligence-analyst"
        },
        {
          "name": "Data Engineer",
          "slug": "data-engineer"
        },
        {
          "name": "Demand Analyst",
          "slug": "demand-analyst"
        },
        {
          "name": "Senior Data Analytics Engineer",
          "slug": "senior-data-analytics-engineer"
        },
        {
          "name": "Business Analytics Engineer",
          "slug": "business-analytics-engineer"
        },
        {
          "name": "Data Science",
          "slug": "data-science"
        }
      ],
      "parent_categories": [
        {
          "name": "Data Science",
          "slug": "data-science"
        }
      ],
      "skills": null,
      "requirements": null,
      "excerpt": "At Netflix, our mission is to entertain the world.",
      "description_html": "<p>At <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.</p><br><p>The Demand Science team within Ads Data Science &amp; Engineering plays a crucial role in <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> Ads growth by equipping the business to efficiently attract, activate, and scale advertiser demand. As the dedicated analytics engineer in this space, you would lead analytics across our media planning and campaign management tools, ML models, and agentic solutions end-to-end. You will be responsible for leading the space; finding the patterns, risks, and opportunities before anyone asks for them, and turning that into a point of view that changes what the team builds next.</p><br><h3>In this role, you will:</h3><br><ul>\n<li>Partner directly with stakeholders (e.g., Scientists, Product Managers, Engineers) on media planning and campaign management analytics initiatives.</li>\n<li>Lead open-ended discovery, surfacing risks and opportunities before they're asked for.</li>\n<li>Own end-to-end development of the analysis, metrics, and tools used across Ads Demand.</li>\n<li>Turn data into insights and recommendations that shape campaign and planning outcomes.</li>\n<li>Define and evolve the metrics that describe campaign and planning health.</li>\n<li>Partner with data engineering to keep analytics data reliable and available.</li>\n<li>Communicate findings and recommendations clearly to technical and non-technical audiences.</li>\n</ul><br><h3>Nice to have:</h3><ul><li>Experience with LLM techniques that accelerate data analysis.</li></ul><br><h3>About you:</h3><ul>\n<li>5+ years in a data analytics or data science function, with a track record of independent, open-ended analysis, in addition to dashboard delivery.</li>\n<li>5+ years of experience in leveraging technical skills in manipulating large data sets with complex SQL and Python (or similar languages), big data technologies (e.g., Hadoop, Spark), and visualization tools</li>\n<li>Comfort with ambiguity; able to take ownership, and thrive with minimal oversight and process</li>\n<li>Track record of turning analysis into a point of view that changes roadmap or product decisions.</li>\n<li>Experience managing stakeholders' asks, expectations, and relationships across a variety of stakeholders</li>\n<li>Exceptional communication and collaboration skills coupled with strong business curiosity and acumen</li>\n<li>Enthusiastic about and compatible with <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> culture.</li>\n</ul>Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $330,000.00 - $566,000.00. This compensation range will vary based on location.<p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.</p><p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> is a unique culture and environment. Learn more here.</p><p>Inclusionis a <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.</p><p>We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</p><p>Job is open for no less than 7 days and will be removed when the position is filled.</p><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>",
      "description_text": "At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.\n\nThe Demand Science team within Ads Data Science & Engineering plays a crucial role in Netflix Ads growth by equipping the business to efficiently attract, activate, and scale advertiser demand. As the dedicated analytics engineer in this space, you would lead analytics across our media planning and campaign management tools, ML models, and agentic solutions end-to-end. You will be responsible for leading the space; finding the patterns, risks, and opportunities before anyone asks for them, and turning that into a point of view that changes what the team builds next.\n\nIn this role, you will:\n- Partner directly with stakeholders (e.g., Scientists, Product Managers, Engineers) on media planning and campaign management analytics initiatives.\n- Lead open-ended discovery, surfacing risks and opportunities before they're asked for.\n- Own end-to-end development of the analysis, metrics, and tools used across Ads Demand.\n- Turn data into insights and recommendations that shape campaign and planning outcomes.\n- Define and evolve the metrics that describe campaign and planning health.\n- Partner with data engineering to keep analytics data reliable and available.\n- Communicate findings and recommendations clearly to technical and non-technical audiences.\n\nNice to have:\n- Experience with LLM techniques that accelerate data analysis.\n\nAbout you:\n- 5+ years in a data analytics or data science function, with a track record of independent, open-ended analysis, in addition to dashboard delivery.\n- 5+ years of experience in leveraging technical skills in manipulating large data sets with complex SQL and Python (or similar languages), big data technologies (e.g., Hadoop, Spark), and visualization tools\n- Comfort with ambiguity; able to take ownership, and thrive with minimal oversight and process\n- Track record of turning analysis into a point of view that changes roadmap or product decisions.\n- Experience managing stakeholders' asks, expectations, and relationships across a variety of stakeholders\n- Exceptional communication and collaboration skills coupled with strong business curiosity and acumen\n- Enthusiastic about and compatible with Netflix culture.\n\nGenerally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $330,000.00 - $566,000.00. This compensation range will vary based on location.\nNetflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.\n\nNetflix is a unique culture and environment. Learn more here.\n\nInclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.\n\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.\n\nJob is open for no less than 7 days and will be removed when the position is filled.\n\nOriginally posted on Himalayas",
      "published_at": "2026-10-08T00:49:24Z",
      "expires_at": "2026-12-07T00:49:23Z"
    },
    {
      "id": "netflix/data-scientist-5-media-science-dse",
      "title": "Data Scientist 5 - Media Science DSE",
      "link": "https://himalayas.app/companies/netflix/jobs/data-scientist-5-media-science-dse",
      "company": {
        "name": "Netflix",
        "slug": "netflix",
        "link": "https://himalayas.app/companies/netflix",
        "logo_link": "https://cdn-images.himalayas.app/6gtq4bkamlky0cuwvxi3m3t60689",
        "is_verified": null
      },
      "employment_type": "full-time",
      "seniority": [
        "senior"
      ],
      "salary": {
        "min": 372000,
        "max": 600000,
        "currency": "USD",
        "period": "annual"
      },
      "location": {
        "countries": [
          "United States"
        ],
        "is_worldwide": false,
        "timezone_offsets": [
          -10,
          -9,
          -8,
          -7,
          -6,
          -5,
          14
        ],
        "has_timezone_restriction": true
      },
      "categories": [
        {
          "name": "Data Scientist",
          "slug": "data-scientist"
        },
        {
          "name": "Quantitative Analyst",
          "slug": "quantitative-analyst"
        },
        {
          "name": "Analytic Scientist",
          "slug": "analytic-scientist"
        },
        {
          "name": "Business Intelligence Analyst",
          "slug": "business-intelligence-analyst"
        },
        {
          "name": "Media Data Science",
          "slug": "media-data-science"
        },
        {
          "name": "Data Science",
          "slug": "data-science"
        }
      ],
      "parent_categories": [
        {
          "name": "Data Science",
          "slug": "data-science"
        }
      ],
      "skills": null,
      "requirements": null,
      "excerpt": "At Netflix, our mission is to entertain the world.",
      "description_html": "<p>At <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.</p><br><p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> Animation Studios (NAS) is <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>'s in-house feature animation studio, delivering the exceptional artistry behind big hits like Leo, KPop Demon Hunters, and The Sea Beast.</p><br><p>Media Science DSE is hiring for an embedded role to stand up our data science capability within NAS. How well NAS plans for and manages its growing slate and workforce has a direct impact on the creative and financial success of its films. As a Data Scientist, you'll construct and execute the roadmap for analysis, models, and data products that connect finance, production, and people data into a single system empowering slate planning, operational forecasting, and strategic decision-making for the Studio. You'll work directly with NAS leadership across Studio Operations and Production to architect the robust data foundations NAS needs to scale its slate with confidence.</p><br><p>As a Senior Data Scientist in this space, you will…</p><ul>\n<li>Serve as NAS's founding data scientist, partnering with leadership to define and prioritize the studio's metrics &amp; science agenda</li>\n<li>Strategically thought partner to scope ambiguous, greenfield questions - proposing and delivering analysis and science that introduce and influence data-informed ways of thinking</li>\n<li>Own the end-to-end measurement agenda in partnership with data engineering - spanning data model design; new metric development, analysis, and forecasting; and the interpretation and dissemination of results</li>\n<li>Conduct slate analysis that surfaces drivers of show efficiency as a means to preserve creative optionality across shows</li>\n<li>Develop scenario planning models that quantify how schedule changes ripple across the production slate - giving leadership the visibility they need to proactively manage production timelines and workforce allocation</li>\n<li>Build dashboards and scorecards that allow leadership to continuously monitor show statuses and potential risks</li>\n<li>Present your metrics, models, and analytical insights clearly to a leadership audience, translating complex analysis into decisions NAS can act on</li>\n<li>Collaborate with data scientists, analytics engineers, and data engineers across Media Science DSE to apply existing metric and viz approaches to NAS, where appropriate</li>\n</ul><br><h3>About you…</h3><ul>\n<li>Advanced degree in Statistics, Applied Mathematics, Economics, Operations Research, or a related quantitative field (or equivalent practical experience)</li>\n<li>8+ years of experience as a data scientist, with a track record of developing and executing measurement frameworks, models, and visualization products that directly inform business decisions</li>\n<li>Experience building scenario planning, forecasting, or optimization models in operationally complex, resource-constrained environments</li>\n<li>Strong quantitative and statistical intuition, comfortable moving fluidly between exploratory analysis, new metric construction, model development, and applied problem solving</li>\n<li>Proven ability to translate ambiguous business questions into structured analytical workstreams</li>\n<li>Skilled at building dashboards and visualizations that make complex data intuitive and actionable for a business leadership audience</li>\n<li>Excellent verbal and written communicator who is adept at distilling complex analysis into clear, digestible narratives that broad audiences can understand and act on - influencing data-informed thinking across the organization</li>\n<li>Comfortable operating with minimal oversight in a fast-paced, evolving environment</li>\n<li>Energized by the opportunity to work within a film studio and build a new data science capability from the ground up</li>\n<li>\n<a href=\"https://himalayas.app/companies/netflix\">Netflix</a> culture resonates with you<br>\n</li>\n</ul>Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $372,000.00 - $600,000.00. This compensation range will vary based on location.<p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.</p><p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> is a unique culture and environment. Learn more here.</p><p>Inclusionis a <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.</p><p>We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</p><p>Job is open for no less than 7 days and will be removed when the position is filled.</p><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>",
      "description_text": "At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.\n\nNetflix Animation Studios (NAS) is Netflix's in-house feature animation studio, delivering the exceptional artistry behind big hits like Leo, KPop Demon Hunters, and The Sea Beast.\n\nMedia Science DSE is hiring for an embedded role to stand up our data science capability within NAS. How well NAS plans for and manages its growing slate and workforce has a direct impact on the creative and financial success of its films. As a Data Scientist, you'll construct and execute the roadmap for analysis, models, and data products that connect finance, production, and people data into a single system empowering slate planning, operational forecasting, and strategic decision-making for the Studio. You'll work directly with NAS leadership across Studio Operations and Production to architect the robust data foundations NAS needs to scale its slate with confidence.\n\nAs a Senior Data Scientist in this space, you will…\n- Serve as NAS's founding data scientist, partnering with leadership to define and prioritize the studio's metrics & science agenda\n- Strategically thought partner to scope ambiguous, greenfield questions - proposing and delivering analysis and science that introduce and influence data-informed ways of thinking\n- Own the end-to-end measurement agenda in partnership with data engineering - spanning data model design; new metric development, analysis, and forecasting; and the interpretation and dissemination of results\n- Conduct slate analysis that surfaces drivers of show efficiency as a means to preserve creative optionality across shows\n- Develop scenario planning models that quantify how schedule changes ripple across the production slate - giving leadership the visibility they need to proactively manage production timelines and workforce allocation\n- Build dashboards and scorecards that allow leadership to continuously monitor show statuses and potential risks\n- Present your metrics, models, and analytical insights clearly to a leadership audience, translating complex analysis into decisions NAS can act on\n- Collaborate with data scientists, analytics engineers, and data engineers across Media Science DSE to apply existing metric and viz approaches to NAS, where appropriate\n\nAbout you…\n- Advanced degree in Statistics, Applied Mathematics, Economics, Operations Research, or a related quantitative field (or equivalent practical experience)\n- 8+ years of experience as a data scientist, with a track record of developing and executing measurement frameworks, models, and visualization products that directly inform business decisions\n- Experience building scenario planning, forecasting, or optimization models in operationally complex, resource-constrained environments\n- Strong quantitative and statistical intuition, comfortable moving fluidly between exploratory analysis, new metric construction, model development, and applied problem solving\n- Proven ability to translate ambiguous business questions into structured analytical workstreams\n- Skilled at building dashboards and visualizations that make complex data intuitive and actionable for a business leadership audience\n- Excellent verbal and written communicator who is adept at distilling complex analysis into clear, digestible narratives that broad audiences can understand and act on - influencing data-informed thinking across the organization\n- Comfortable operating with minimal oversight in a fast-paced, evolving environment\n- Energized by the opportunity to work within a film studio and build a new data science capability from the ground up\n\n-\nNetflix culture resonates with you\n\nGenerally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $372,000.00 - $600,000.00. This compensation range will vary based on location.\nNetflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.\n\nNetflix is a unique culture and environment. Learn more here.\n\nInclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.\n\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.\n\nJob is open for no less than 7 days and will be removed when the position is filled.\n\nOriginally posted on Himalayas",
      "published_at": "2026-10-06T07:38:31Z",
      "expires_at": "2026-12-05T07:38:30Z"
    },
    {
      "id": "netflix/capacity-planner-l6-studio-infrastructure",
      "title": "Capacity Planner (L6) - Studio Infrastructure",
      "link": "https://himalayas.app/companies/netflix/jobs/capacity-planner-l6-studio-infrastructure",
      "company": {
        "name": "Netflix",
        "slug": "netflix",
        "link": "https://himalayas.app/companies/netflix",
        "logo_link": "https://cdn-images.himalayas.app/6gtq4bkamlky0cuwvxi3m3t60689",
        "is_verified": null
      },
      "employment_type": "full-time",
      "seniority": [
        "senior"
      ],
      "salary": {
        "min": 374000,
        "max": 636000,
        "currency": "USD",
        "period": "annual"
      },
      "location": {
        "countries": [
          "United States"
        ],
        "is_worldwide": false,
        "timezone_offsets": [
          -10,
          -9,
          -8,
          -7,
          -6,
          -5,
          14
        ],
        "has_timezone_restriction": true
      },
      "categories": [
        {
          "name": "Capacity Planning Specialist",
          "slug": "capacity-planning-specialist"
        },
        {
          "name": "Network Infrastructure Planner",
          "slug": "network-infrastructure-planner"
        },
        {
          "name": "Capacity Planning Analyst",
          "slug": "capacity-planning-analyst"
        },
        {
          "name": "Infrastructure Analyst",
          "slug": "infrastructure-analyst"
        },
        {
          "name": "Technical Analyst",
          "slug": "technical-analyst"
        },
        {
          "name": "Senior Capacity Planning Engineer",
          "slug": "senior-capacity-planning-engineer"
        }
      ],
      "parent_categories": [],
      "skills": null,
      "requirements": null,
      "excerpt": "At Netflix, our mission is to entertain the world.",
      "description_html": "<p>At <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.</p><p>The Open Connect Infrastructure Capacity Planning team plays a central role in ensuring that our members and internal customers consistently enjoy a seamless experience, achieved through the timely deployment and ongoing management of <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>’s owned infrastructure capacity. Our team is dedicated to the development of long-range capacity forecasts that are forward-looking, adaptable to rapidly evolving product needs, and focused on efficiency. We collaborate closely with a diverse range of cross-functional stakeholders to understand their current and future infrastructure requirements and make strategic recommendations around product implementation and design. Some of our team’s core responsibilities include:</p><ul>\n<li><p><b>Development of Long-Range Infrastructure Capacity Strategies</b>:Create forward-looking strategies that inform long-term financial planning, network design, and near-term deployment and implementation decisions.</p></li>\n<li><p><b>Effective Infrastructure Allocation</b>: Convert demand forecasts across multiple products into clear, actionable capacity plans and strategic recommendations to drive investment decisions. Balance infrastructure availability across product types.</p></li>\n<li><p><b>Data-Driven Analyses for Platform Optimization and Scalability</b>: Conduct ongoing, data-driven analyses focused on optimizing efficiency, spend, and architectural direction while ensuring long-term platform scalability and resiliency.</p></li>\n<li><p><b>Risk Assessment &amp; Management</b>: Identification of potential risks related to capacity shortages or excesses and development of mitigation strategies.</p></li>\n<li><p><b>Infrastructure Performance Monitoring</b>: Continuous tracking of infrastructure performance and utilization to identify bottlenecks or inefficiencies.</p></li>\n</ul><h3>What You'll Do</h3><p>The Open Connect Capacity Planning team is a centralized group positioned at the intersection of business strategy and implementation. Our mission is to strategically recommend, build, and maintain the right type and quantity of capacity in the right locations and at the right times to ensure high-quality service, efficiency, scalability, and resilience for <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> and our ISP partners. The primary objectives include developing and executing infra capacity plans, providing technical expertise to leaders, analyzing data to inform capacity decisions, and driving long-term capacity roadmap planning. You will be partnering with stunning colleagues within Product &amp; Technology Engineering organization to assess strategic initiatives, develop actionable insights, and drive operational analytics to inform short term and long term infrastructure strategy for Open connect. This is an individual contributor role that is expected to work with limited supervision on strategic thinking, problem solving, and running cross-functional stakeholder relationships and initiatives. Some of your primary responsibilities include:</p><ul>\n<li><p><b>Translate demand signals</b>(including bandwidth, storage, and network capacity requirements)into actionable capacity forecasts, both short-term and long-term, to inform infrastructure investment and scaling strategies.</p></li>\n<li><p><b>Conduct what-if analysis and hypothesis testingto assess capacity impacts and trade-offs</b>driven by specific demand signals and product requirements; present outcomes, insights, risks, and potential mitigations, and define key metrics to support strategic investment and prioritization decisions for leadership, finance, and Engineering &amp; Architecture teams.</p></li>\n<li><p><b>Orchestrate the timely implementation and allocation</b>of infrastructure augments in coordination with deployment and operational teams.</p></li>\n<li><p><b>Collaborate cross-functionally</b>with product managers, Product, Finance &amp; Strategy, TPMs, Engineers, and the Partnerships team to support scaling strategies for new product launches, especially those related to Studio Infrastructure.</p></li>\n<li><p><b>Develop requirements for modeling and automation tools</b>, continuously evaluating and enhancing workflows, processes, and tools to minimize time spent on modeling and maximize focus on delivering impactful insights, storytelling, and business outcomes.</p></li>\n<li><p><b>Manage risks and help prioritize competing efforts</b>among stakeholder and implementation teams by evaluating trade-offs, providing objective recommendations, and constructively pushing back when necessary, including asking whether the potential benefits justify the required effort and spend, to ensure informed decision-making that aligns with organizational goals and business priorities.</p></li>\n</ul><h3>Who will be successful in this role?</h3><ul>\n<li><p>A deeply analytical individual who leverages quantitative methods, statistical tools, and massive datasets to guide capacity choices, utilizing scenario-based and hypothesis-driven models while maintaining objective skepticism in ambiguous situations.</p></li>\n<li><p>A forward-looking planner capable of modeling long-range requirements (5+ years) to ensure platform scalability and create proactive solutions for shared infrastructure across multiple products.</p></li>\n<li><p>Someone who bridges a strong analytical background with sharp product intuition, clarity of thought, and strong communication skills to articulate and deliver on a long-term capacity vision.</p></li>\n<li><p>An action-oriented professional who works effectively and independently in dynamic environments to coordinate cross-functional efforts and drive initiatives forward rapidly.</p></li>\n<li><p>A cross-functional team player who thrives in collaborative settings, partnering smoothly with diverse specialists including engineers, data scientists, product managers, and business groups.</p></li>\n<li><p>An excellent communicator who can distill complex concepts for varied audiences, switch contexts effortlessly, and align competing product initiatives to achieve optimal outcomes.</p></li>\n<li><p>A mindset that prioritizes rapid, iterative delivery over delayed perfection while maintaining high accountability for the final quality of the output.</p></li>\n</ul><h3>What you’ll bring to the role</h3><ul>\n<li><p>At least 5 years of experience in infrastructure capacity planning for data centers or cloud platforms</p></li>\n<li><p>10+ years of hands-on data analysis and visualization expertise with deep proficiency in SQL (knowledge of Python is a plus)</p></li>\n<li><p>Strong familiarity with or active curiosity about the telecommunications, internet ecosystems, and studio infrastructure</p></li>\n<li><p>Excellent communication skills, both written and verbal</p></li>\n<li><h3>Proficiency in AI tools</h3></li>\n<li><p>A degree in Management Information Systems, Management Consulting, Statistics, or a related quantitative field — or equivalent hands-on experience.</p></li>\n</ul><p>We know great candidates come from a range of backgrounds and paths, so if you don't check every box above but bring strong, relevant experience, we still encourage you to apply.</p><h3>Why Join This Team</h3><ul>\n<li><p>The opportunity to have impact.Consequently, we’re looking for someone with capacity planning experience who is strategic and also likes rolling up their sleeves.</p></li>\n<li><p>Responsibility. <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> offers true transparency and autonomy. Ourcultureis unique and is key to how we innovate.</p></li>\n<li><p>Learning. You will be creating customer experiences and business models that have never been done before. You will have the opportunity to work with stunning colleagues who value collaboration and from whom you can learn.</p></li>\n<li><p>A work environment where you can grow your career.Many of our top execs started out as individual contributors.</p></li>\n</ul>Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $374,000.00 - $636,000.00. This compensation range will vary based on location.<p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.</p><p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> is a unique culture and environment. Learn more here.</p><p>Inclusionis a <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.</p><p>We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</p><p>Job is open for no less than 7 days and will be removed when the position is filled.</p><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>",
      "description_text": "At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.\n\nThe Open Connect Infrastructure Capacity Planning team plays a central role in ensuring that our members and internal customers consistently enjoy a seamless experience, achieved through the timely deployment and ongoing management of Netflix’s owned infrastructure capacity. Our team is dedicated to the development of long-range capacity forecasts that are forward-looking, adaptable to rapidly evolving product needs, and focused on efficiency. We collaborate closely with a diverse range of cross-functional stakeholders to understand their current and future infrastructure requirements and make strategic recommendations around product implementation and design. Some of our team’s core responsibilities include:\n\n-\nDevelopment of Long-Range Infrastructure Capacity Strategies:Create forward-looking strategies that inform long-term financial planning, network design, and near-term deployment and implementation decisions.\n\n-\nEffective Infrastructure Allocation: Convert demand forecasts across multiple products into clear, actionable capacity plans and strategic recommendations to drive investment decisions. Balance infrastructure availability across product types.\n\n-\nData-Driven Analyses for Platform Optimization and Scalability: Conduct ongoing, data-driven analyses focused on optimizing efficiency, spend, and architectural direction while ensuring long-term platform scalability and resiliency.\n\n-\nRisk Assessment & Management: Identification of potential risks related to capacity shortages or excesses and development of mitigation strategies.\n\n-\nInfrastructure Performance Monitoring: Continuous tracking of infrastructure performance and utilization to identify bottlenecks or inefficiencies.\n\nWhat You'll Do\n\nThe Open Connect Capacity Planning team is a centralized group positioned at the intersection of business strategy and implementation. Our mission is to strategically recommend, build, and maintain the right type and quantity of capacity in the right locations and at the right times to ensure high-quality service, efficiency, scalability, and resilience for Netflix and our ISP partners. The primary objectives include developing and executing infra capacity plans, providing technical expertise to leaders, analyzing data to inform capacity decisions, and driving long-term capacity roadmap planning. You will be partnering with stunning colleagues within Product & Technology Engineering organization to assess strategic initiatives, develop actionable insights, and drive operational analytics to inform short term and long term infrastructure strategy for Open connect. This is an individual contributor role that is expected to work with limited supervision on strategic thinking, problem solving, and running cross-functional stakeholder relationships and initiatives. Some of your primary responsibilities include:\n\n-\nTranslate demand signals(including bandwidth, storage, and network capacity requirements)into actionable capacity forecasts, both short-term and long-term, to inform infrastructure investment and scaling strategies.\n\n-\nConduct what-if analysis and hypothesis testingto assess capacity impacts and trade-offsdriven by specific demand signals and product requirements; present outcomes, insights, risks, and potential mitigations, and define key metrics to support strategic investment and prioritization decisions for leadership, finance, and Engineering & Architecture teams.\n\n-\nOrchestrate the timely implementation and allocationof infrastructure augments in coordination with deployment and operational teams.\n\n-\nCollaborate cross-functionallywith product managers, Product, Finance & Strategy, TPMs, Engineers, and the Partnerships team to support scaling strategies for new product launches, especially those related to Studio Infrastructure.\n\n-\nDevelop requirements for modeling and automation tools, continuously evaluating and enhancing workflows, processes, and tools to minimize time spent on modeling and maximize focus on delivering impactful insights, storytelling, and business outcomes.\n\n-\nManage risks and help prioritize competing effortsamong stakeholder and implementation teams by evaluating trade-offs, providing objective recommendations, and constructively pushing back when necessary, including asking whether the potential benefits justify the required effort and spend, to ensure informed decision-making that aligns with organizational goals and business priorities.\n\nWho will be successful in this role?\n\n-\nA deeply analytical individual who leverages quantitative methods, statistical tools, and massive datasets to guide capacity choices, utilizing scenario-based and hypothesis-driven models while maintaining objective skepticism in ambiguous situations.\n\n-\nA forward-looking planner capable of modeling long-range requirements (5+ years) to ensure platform scalability and create proactive solutions for shared infrastructure across multiple products.\n\n-\nSomeone who bridges a strong analytical background with sharp product intuition, clarity of thought, and strong communication skills to articulate and deliver on a long-term capacity vision.\n\n-\nAn action-oriented professional who works effectively and independently in dynamic environments to coordinate cross-functional efforts and drive initiatives forward rapidly.\n\n-\nA cross-functional team player who thrives in collaborative settings, partnering smoothly with diverse specialists including engineers, data scientists, product managers, and business groups.\n\n-\nAn excellent communicator who can distill complex concepts for varied audiences, switch contexts effortlessly, and align competing product initiatives to achieve optimal outcomes.\n\n-\nA mindset that prioritizes rapid, iterative delivery over delayed perfection while maintaining high accountability for the final quality of the output.\n\nWhat you’ll bring to the role\n\n-\nAt least 5 years of experience in infrastructure capacity planning for data centers or cloud platforms\n\n-\n10+ years of hands-on data analysis and visualization expertise with deep proficiency in SQL (knowledge of Python is a plus)\n\n-\nStrong familiarity with or active curiosity about the telecommunications, internet ecosystems, and studio infrastructure\n\n-\nExcellent communication skills, both written and verbal\n\n-\nProficiency in AI tools\n\n-\nA degree in Management Information Systems, Management Consulting, Statistics, or a related quantitative field — or equivalent hands-on experience.\n\nWe know great candidates come from a range of backgrounds and paths, so if you don't check every box above but bring strong, relevant experience, we still encourage you to apply.\n\nWhy Join This Team\n\n-\nThe opportunity to have impact.Consequently, we’re looking for someone with capacity planning experience who is strategic and also likes rolling up their sleeves.\n\n-\nResponsibility. Netflix offers true transparency and autonomy. Ourcultureis unique and is key to how we innovate.\n\n-\nLearning. You will be creating customer experiences and business models that have never been done before. You will have the opportunity to work with stunning colleagues who value collaboration and from whom you can learn.\n\n-\nA work environment where you can grow your career.Many of our top execs started out as individual contributors.\n\nGenerally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $374,000.00 - $636,000.00. This compensation range will vary based on location.\nNetflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.\n\nNetflix is a unique culture and environment. Learn more here.\n\nInclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.\n\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.\n\nJob is open for no less than 7 days and will be removed when the position is filled.\n\nOriginally posted on Himalayas",
      "published_at": "2026-10-06T07:21:39Z",
      "expires_at": "2026-12-05T07:21:38Z"
    },
    {
      "id": "netflix/engineering-manager-tv-client-paved-paths-workflows",
      "title": "Engineering Manager - TV Client Paved Paths & Workflows",
      "link": "https://himalayas.app/companies/netflix/jobs/engineering-manager-tv-client-paved-paths-workflows",
      "company": {
        "name": "Netflix",
        "slug": "netflix",
        "link": "https://himalayas.app/companies/netflix",
        "logo_link": "https://cdn-images.himalayas.app/6gtq4bkamlky0cuwvxi3m3t60689",
        "is_verified": null
      },
      "employment_type": "full-time",
      "seniority": [
        "manager"
      ],
      "salary": {
        "min": 436000,
        "max": 710000,
        "currency": "USD",
        "period": "annual"
      },
      "location": {
        "countries": [
          "United States"
        ],
        "is_worldwide": false,
        "timezone_offsets": [
          -10,
          -9,
          -8,
          -7,
          -6,
          -5,
          14
        ],
        "has_timezone_restriction": true
      },
      "categories": [
        {
          "name": "Engineering Manager",
          "slug": "engineering-manager"
        },
        {
          "name": "Platform Engineering Manager",
          "slug": "platform-engineering-manager"
        },
        {
          "name": "Software Engineering Manager",
          "slug": "software-engineering-manager"
        },
        {
          "name": "Technical Manager",
          "slug": "technical-manager"
        },
        {
          "name": "Engineering Lead",
          "slug": "engineering-lead"
        },
        {
          "name": "Client Engineering Manager",
          "slug": "client-engineering-manager"
        }
      ],
      "parent_categories": [
        {
          "name": "Developer",
          "slug": "developer"
        }
      ],
      "skills": null,
      "requirements": null,
      "excerpt": "At Netflix, our mission is to entertain the world.",
      "description_html": "<p>At <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.</p><p>The TV Client Paved Paths &amp; Workflows team aims to provide a holistic, world-class experience for creating TV applications, including <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>’s flagship streaming app. We enable engineers to deliver product initiatives that bring joy to people worldwide by focusing on a high-quality, high-velocity, joyful developer experience.</p><p>Your team will have the exciting opportunity to enable new immersive product experiences by scaling capabilities and empowering partners through TV platform paved paths, self-service tools, and agentic workflows.</p><p>We celebrate diversity of identities, ideas, backgrounds, and experiences. We believe our best work stems from fostering safety &amp; trust and enabling each of us to be our authentic selves. We selflessly use our unique strengths to support one another and help each other grow.</p><p>We have a distributed team with teammates across the US. While some of us are in person, the team is committed to ensuring remote work is a collaborative and productive experience for everyone.</p><h3>The Role</h3><p>We are looking for an Engineering Manager to lead our TV Client Paved Paths &amp; Workflows team. This team sits at the intersection of the TV platform and our product partners. The team enables product innovation through investments like self-service tooling, agentic workflows, design-engineering workflows, design systems, component libraries, and server-driven contracts. </p><h3>Role Expectations:</h3><ul>\n<li>Lead a platform engineering team that builds products for engineers and product partners</li>\n<li>Build strong relationships with Design, Product, UI Engineering, and foundational partners</li>\n<li>Build and support a team of senior software engineers who value inclusion, transparency, autonomy, and humility</li>\n<li>Bring partners and the business along by illustrating the value and impact of the team’s work</li>\n<li>Empower, challenge, and coach team members to grow their impact as individual technical leaders by providing them with context and continuous feedback.</li>\n<li>Exemplify the <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> culture by understanding, advocating, and demonstrating its values<br>\n</li>\n</ul><h3>You:</h3><p>Our team members excel when they are curious, growth-oriented, and collaborative. We take a customer-centric approach to our work, so listening, learning, and adapting are essential. We assume good intent and consistently seek to improve ourselves and our solutions. There are no absolutes, and we must remain flexible to meet the needs of our customers and the business, so “strong opinions loosely held” is a valued attribute within the team.</p><p>If this resonates with you, we’d love to talk!</p><h3>What’s Different About Us:</h3><ul>\n<li>Scale, Impact: You’ll enable over 70 engineers to create best-in-class streaming UIs used by hundreds of millions of members across a broad spectrum of devices worldwide.</li>\n<li>Unique Technical Problems: While our stack is primarily JavaScript and TypeScript, you’ll build on our custom TV platform with unique constraints and capabilities.</li>\n<li>Collaboration and Communication: It’s not all about the tech. We highly value the skills required to build strong relationships and collaborate effectively.</li>\n<li>Freedom, Responsibility, Ownership: We believe in providing engineers with the business context they need and giving them the freedom and responsibility to define project scope, define/debate architecture, identify trade-offs, and figure out the implementation details.</li>\n<li>Our Culture: Lastly, but most importantly, we live by our values.<br>\n</li>\n</ul><h3>What Sets You Apart:</h3><ul>\n<li>Experience leading in product or UI engineering domains.</li>\n<li>You’re passionate about serving engineers as customers.</li>\n<li>You enjoy pushing the boundaries of what technology can do and exploring uncharted waters.</li>\n<li>You love to empower engineers and strive to understand their use cases.</li>\n<li>You are interested in developer experience industry trends and are always striving to improve.</li>\n<li>You value the perspective of others when identifying solutions.</li>\n<li>You know there is rarely one ‘right’ solution, and you make thoughtful trade-offs.</li>\n<li>You understand that our goal is to solve problems, and a language, framework, or library is a means to an end.</li>\n</ul>Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $436,000.00 - $710,000.00. This compensation range will vary based on location.<p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.</p><p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> is a unique culture and environment. Learn more here.</p><p>Inclusionis a <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.</p><p>We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</p><p>Job is open for no less than 7 days and will be removed when the position is filled.</p><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>",
      "description_text": "At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.\n\nThe TV Client Paved Paths & Workflows team aims to provide a holistic, world-class experience for creating TV applications, including Netflix’s flagship streaming app. We enable engineers to deliver product initiatives that bring joy to people worldwide by focusing on a high-quality, high-velocity, joyful developer experience.\n\nYour team will have the exciting opportunity to enable new immersive product experiences by scaling capabilities and empowering partners through TV platform paved paths, self-service tools, and agentic workflows.\n\nWe celebrate diversity of identities, ideas, backgrounds, and experiences. We believe our best work stems from fostering safety & trust and enabling each of us to be our authentic selves. We selflessly use our unique strengths to support one another and help each other grow.\n\nWe have a distributed team with teammates across the US. While some of us are in person, the team is committed to ensuring remote work is a collaborative and productive experience for everyone.\n\nThe Role\n\nWe are looking for an Engineering Manager to lead our TV Client Paved Paths & Workflows team. This team sits at the intersection of the TV platform and our product partners. The team enables product innovation through investments like self-service tooling, agentic workflows, design-engineering workflows, design systems, component libraries, and server-driven contracts.\n\nRole Expectations:\n- Lead a platform engineering team that builds products for engineers and product partners\n- Build strong relationships with Design, Product, UI Engineering, and foundational partners\n- Build and support a team of senior software engineers who value inclusion, transparency, autonomy, and humility\n- Bring partners and the business along by illustrating the value and impact of the team’s work\n- Empower, challenge, and coach team members to grow their impact as individual technical leaders by providing them with context and continuous feedback.\n- Exemplify the Netflix culture by understanding, advocating, and demonstrating its values\n\nYou:\n\nOur team members excel when they are curious, growth-oriented, and collaborative. We take a customer-centric approach to our work, so listening, learning, and adapting are essential. We assume good intent and consistently seek to improve ourselves and our solutions. There are no absolutes, and we must remain flexible to meet the needs of our customers and the business, so “strong opinions loosely held” is a valued attribute within the team.\n\nIf this resonates with you, we’d love to talk!\n\nWhat’s Different About Us:\n- Scale, Impact: You’ll enable over 70 engineers to create best-in-class streaming UIs used by hundreds of millions of members across a broad spectrum of devices worldwide.\n- Unique Technical Problems: While our stack is primarily JavaScript and TypeScript, you’ll build on our custom TV platform with unique constraints and capabilities.\n- Collaboration and Communication: It’s not all about the tech. We highly value the skills required to build strong relationships and collaborate effectively.\n- Freedom, Responsibility, Ownership: We believe in providing engineers with the business context they need and giving them the freedom and responsibility to define project scope, define/debate architecture, identify trade-offs, and figure out the implementation details.\n- Our Culture: Lastly, but most importantly, we live by our values.\n\nWhat Sets You Apart:\n- Experience leading in product or UI engineering domains.\n- You’re passionate about serving engineers as customers.\n- You enjoy pushing the boundaries of what technology can do and exploring uncharted waters.\n- You love to empower engineers and strive to understand their use cases.\n- You are interested in developer experience industry trends and are always striving to improve.\n- You value the perspective of others when identifying solutions.\n- You know there is rarely one ‘right’ solution, and you make thoughtful trade-offs.\n- You understand that our goal is to solve problems, and a language, framework, or library is a means to an end.\n\nGenerally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $436,000.00 - $710,000.00. This compensation range will vary based on location.\nNetflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.\n\nNetflix is a unique culture and environment. Learn more here.\n\nInclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.\n\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.\n\nJob is open for no less than 7 days and will be removed when the position is filled.\n\nOriginally posted on Himalayas",
      "published_at": "2026-10-05T23:40:00Z",
      "expires_at": "2026-12-04T23:39:59Z"
    },
    {
      "id": "netflix/data-scientist-4-interactive-discovery",
      "title": "Data Scientist 4- Interactive Discovery",
      "link": "https://himalayas.app/companies/netflix/jobs/data-scientist-4-interactive-discovery",
      "company": {
        "name": "Netflix",
        "slug": "netflix",
        "link": "https://himalayas.app/companies/netflix",
        "logo_link": "https://cdn-images.himalayas.app/6gtq4bkamlky0cuwvxi3m3t60689",
        "is_verified": null
      },
      "employment_type": "full-time",
      "seniority": [
        "senior"
      ],
      "salary": {
        "min": 280000,
        "max": 421000,
        "currency": "USD",
        "period": "annual"
      },
      "location": {
        "countries": [
          "United States"
        ],
        "is_worldwide": false,
        "timezone_offsets": [
          -10,
          -9,
          -8,
          -7,
          -6,
          -5,
          14
        ],
        "has_timezone_restriction": true
      },
      "categories": [
        {
          "name": "Data Scientist",
          "slug": "data-scientist"
        },
        {
          "name": "Research Scientist",
          "slug": "research-scientist"
        },
        {
          "name": "Applied Scientist",
          "slug": "applied-scientist"
        },
        {
          "name": "Data Science Analyst",
          "slug": "data-science-analyst"
        },
        {
          "name": "Search Data Scientist",
          "slug": "search-data-scientist"
        },
        {
          "name": "AI Data Scientist",
          "slug": "ai-data-scientist"
        },
        {
          "name": "Data Science",
          "slug": "data-science"
        }
      ],
      "parent_categories": [
        {
          "name": "Data Science",
          "slug": "data-science"
        }
      ],
      "skills": null,
      "requirements": null,
      "excerpt": "At Netflix, our mission is to entertain the world.",
      "description_html": "<p>At <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.</p><br><p>Interactive Discovery covers the ways members explicitly tell <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> what they want, rather than waiting to be served a recommendation, and it has two components. The first one is our Search platform, which aims at seamlessly integrating with a member’s entire discovery process, powered by intelligent querying systems. The second one is Member Spaces &amp; Inputs, which aims at enabling a member’s discovery journey from anticipating and planning to watch certain content, to tuning in at the right moment through features such as Continue Watching, My List, and Remind Me.</p><br><h3>The Team: Interactive Discovery DSE</h3><br><p>The Interactive Discovery Data Science &amp; Engineering team builds the data, analytics, and experimentation strategy across Search and Inputs – from how Search and GenSearch understand and respond to what a member is looking for, to how features like Continue Watching, My List, and Remind Me help members act on their intent throughout their discovery journey. We partner closely with Product, Engineering, Algos, and Consumer Insights to advance the science behind the various product features, and hold ourselves to a high bar because getting it right means members spend less time searching and more time watching something they’ll love.</p><br><p>We are seeking a Data Scientist with a strong background in experimentation and causal inference to lead the day-to-day partnership between Interactive Discovery DSE and our Member Spaces &amp; Inputs product team. You will design rigorous tests, exercise judgment on what counts as sufficient evidence to validate a hypothesis, and build the measurement frameworks that help the broader Interactive Discovery org move faster and with more confidence.</p><br><h3>In this role, you will:</h3><ul>\n<li>Design and run rigorous A/B tests evaluating Member Spaces &amp; Inputs feature interventions’ impact on user experience</li>\n<li>Exercise causal inference techniques when a clean test isn’t feasible, so the team can still make confident calls in situations where standard experimentation frameworks don’t apply</li>\n<li>Help define and evolve Interactive Discovery’s experimentation standards and measurement framework, developing a shared playbook that lets the broader team run tests with high rigor</li>\n<li>Own the code, data pipelines, and dataset enrichment your analyses depend on, so results are reliable and stakeholders can act on them with confidence</li>\n<li>Translate complex statistical findings into clear, actionable recommendations to influence product decisions and future strategy</li>\n<li>Set the tone for the day-to-day partnership between DSE and Member Spaces &amp; Inputs product team, translating open-ended business needs into well-scoped data projects, sharing a data-driven opinions on roadmap and prioritization</li>\n<li>Build data solutions that could scale as Interactive Discovery innovates and expands into new business verticals (e.g. Live, Games)</li>\n</ul><br><h3>To be successful in this role, you have:</h3><ul>\n<li>At least 3 years of relevant experience, with demonstrated strength in experimentation and causal inference</li>\n<li>Hands-on experience designing and analyzing experiments, with comfort applying causal inference and measurement techniques beyond vanilla A/B tests</li>\n<li>Exceptional communication skills with technical and non-technical audiences, able to influence your partners using clear actionable insights and recommendations</li>\n<li>Strong thought partnership, able to own direct relationships with stakeholders and build credibility through clarity and judgment</li>\n<li>Ability to translate ambiguous asks into clear data science solutions to influence the business</li>\n<li>Strong SQL and Python skills, including building dashboards and automations that improve team efficiency and surface insights</li>\n<li>Good judgment to balance between addressing stakeholder or test-specific needs and investing in scalable solutions to serve general use cases</li>\n<li>Ability to work independently, drive your own projects end-to-end, and thrive in ambiguous situations</li>\n</ul><br><p>Additionally, an exceptional candidate will have:</p><ul>\n<li>Experience with algorithms as a product</li>\n<li>PhD/Masters degree in Statistics, Economics, Computer Science, Mathematics, or a related quantitative field</li>\n<li>Familiarity with Gen AI productivity tools</li>\n</ul><br>Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $280,000.00 - $421,000.00. This compensation range will vary based on location.<p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.</p><p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> is a unique culture and environment. Learn more here.</p><p>Inclusionis a <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.</p><p>We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</p><p>Job is open for no less than 7 days and will be removed when the position is filled.</p><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>",
      "description_text": "At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.\n\nInteractive Discovery covers the ways members explicitly tell Netflix what they want, rather than waiting to be served a recommendation, and it has two components. The first one is our Search platform, which aims at seamlessly integrating with a member’s entire discovery process, powered by intelligent querying systems. The second one is Member Spaces & Inputs, which aims at enabling a member’s discovery journey from anticipating and planning to watch certain content, to tuning in at the right moment through features such as Continue Watching, My List, and Remind Me.\n\nThe Team: Interactive Discovery DSE\n\nThe Interactive Discovery Data Science & Engineering team builds the data, analytics, and experimentation strategy across Search and Inputs – from how Search and GenSearch understand and respond to what a member is looking for, to how features like Continue Watching, My List, and Remind Me help members act on their intent throughout their discovery journey. We partner closely with Product, Engineering, Algos, and Consumer Insights to advance the science behind the various product features, and hold ourselves to a high bar because getting it right means members spend less time searching and more time watching something they’ll love.\n\nWe are seeking a Data Scientist with a strong background in experimentation and causal inference to lead the day-to-day partnership between Interactive Discovery DSE and our Member Spaces & Inputs product team. You will design rigorous tests, exercise judgment on what counts as sufficient evidence to validate a hypothesis, and build the measurement frameworks that help the broader Interactive Discovery org move faster and with more confidence.\n\nIn this role, you will:\n- Design and run rigorous A/B tests evaluating Member Spaces & Inputs feature interventions’ impact on user experience\n- Exercise causal inference techniques when a clean test isn’t feasible, so the team can still make confident calls in situations where standard experimentation frameworks don’t apply\n- Help define and evolve Interactive Discovery’s experimentation standards and measurement framework, developing a shared playbook that lets the broader team run tests with high rigor\n- Own the code, data pipelines, and dataset enrichment your analyses depend on, so results are reliable and stakeholders can act on them with confidence\n- Translate complex statistical findings into clear, actionable recommendations to influence product decisions and future strategy\n- Set the tone for the day-to-day partnership between DSE and Member Spaces & Inputs product team, translating open-ended business needs into well-scoped data projects, sharing a data-driven opinions on roadmap and prioritization\n- Build data solutions that could scale as Interactive Discovery innovates and expands into new business verticals (e.g. Live, Games)\n\nTo be successful in this role, you have:\n- At least 3 years of relevant experience, with demonstrated strength in experimentation and causal inference\n- Hands-on experience designing and analyzing experiments, with comfort applying causal inference and measurement techniques beyond vanilla A/B tests\n- Exceptional communication skills with technical and non-technical audiences, able to influence your partners using clear actionable insights and recommendations\n- Strong thought partnership, able to own direct relationships with stakeholders and build credibility through clarity and judgment\n- Ability to translate ambiguous asks into clear data science solutions to influence the business\n- Strong SQL and Python skills, including building dashboards and automations that improve team efficiency and surface insights\n- Good judgment to balance between addressing stakeholder or test-specific needs and investing in scalable solutions to serve general use cases\n- Ability to work independently, drive your own projects end-to-end, and thrive in ambiguous situations\n\nAdditionally, an exceptional candidate will have:\n- Experience with algorithms as a product\n- PhD/Masters degree in Statistics, Economics, Computer Science, Mathematics, or a related quantitative field\n- Familiarity with Gen AI productivity tools\n\nGenerally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $280,000.00 - $421,000.00. This compensation range will vary based on location.\nNetflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.\n\nNetflix is a unique culture and environment. Learn more here.\n\nInclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.\n\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.\n\nJob is open for no less than 7 days and will be removed when the position is filled.\n\nOriginally posted on Himalayas",
      "published_at": "2026-10-05T23:03:32Z",
      "expires_at": "2026-12-04T23:03:31Z"
    },
    {
      "id": "netflix/software-engineer-6-ad-serving-platform",
      "title": "Software Engineer 6 - Ad Serving Platform",
      "link": "https://himalayas.app/companies/netflix/jobs/software-engineer-6-ad-serving-platform",
      "company": {
        "name": "Netflix",
        "slug": "netflix",
        "link": "https://himalayas.app/companies/netflix",
        "logo_link": "https://cdn-images.himalayas.app/6gtq4bkamlky0cuwvxi3m3t60689",
        "is_verified": null
      },
      "employment_type": "full-time",
      "seniority": [
        "senior"
      ],
      "salary": {
        "min": 499000,
        "max": 900000,
        "currency": "USD",
        "period": "annual"
      },
      "location": {
        "countries": [
          "United States"
        ],
        "is_worldwide": false,
        "timezone_offsets": [
          -10,
          -9,
          -8,
          -7,
          -6,
          -5,
          14
        ],
        "has_timezone_restriction": true
      },
      "categories": [
        {
          "name": "Software Engineer",
          "slug": "software-engineer"
        },
        {
          "name": "Backend Engineer",
          "slug": "backend-engineer"
        },
        {
          "name": "Platform Engineer",
          "slug": "platform-engineer"
        },
        {
          "name": "Distributed Systems Engineer",
          "slug": "distributed-systems-engineer"
        },
        {
          "name": "Ad Platform Engineer",
          "slug": "ad-platform-engineer"
        },
        {
          "name": "Ad Platform Engineering",
          "slug": "ad-platform-engineering"
        },
        {
          "name": "Advertising Platform Engineering",
          "slug": "advertising-platform-engineering"
        },
        {
          "name": "Ad Tech Engineer",
          "slug": "ad-tech-engineer"
        },
        {
          "name": "Software Platform Engineer",
          "slug": "software-platform-engineer"
        }
      ],
      "parent_categories": [
        {
          "name": "Developer",
          "slug": "developer"
        }
      ],
      "skills": null,
      "requirements": null,
      "excerpt": "At Netflix, our mission is to entertain the world.",
      "description_html": "<p>At <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.</p><p>We launched a new ad-supported tierin November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.</p><h3><b>Our Team</b></h3><p>The Ads Serving Platform engineering team sits within the Ad Serving &amp; Decisioning org at <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> Ads. We own the high-throughput, low-latency distributed systems that power real-time ad decisioning. Our work focuses on the core platform architectures supporting ranking and scoring, auction mechanics, budget and pacing systems, and goal-based delivery optimization. We care deeply about how systems work and building resilient systems at scale.</p><p>We are looking for a senior technical leader to own the technical direction of this platform pod, set the architectural bar, and drive execution on the hardest problems in high-throughput systems optimization at <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>.</p><h3><b>What You'll Do</b></h3><ul>\n<li><p><b>Technical Direction:</b>Help drive the overall technical direction of the ad-serving platform. Partner across engineering teams to ensure the ecosystem meets SLAs, SLOs, and uptime requirements.</p></li>\n<li><p><b>Low-Latency Distributed Platform:</b>Architect a concurrent platform optimized for high-throughput systems while monitoring, diagnosing, and mitigating tail latencies across core execution paths.</p></li>\n<li><p><b>Networking &amp; Performance Engineering:</b>Work with I/O-bound and CPU-bound workloads. Profile and tune network and system layers, and build automated performance-benchmarking frameworks within the CI/CD pipeline to identify latency regressions.</p></li>\n<li><p><b>Modular Platform Design:</b>Build a modular architecture that enables other teams to build on top of the platform. Create entry points for external components like model-serving runtimes, budget/pacing systems, and programmatic demand engines that handle outbound networking and QPS management.</p></li>\n<li><p><b>Operational Excellence &amp; Resiliency:</b>Architect a system that is straightforward to operate and maintain. Maintain a high standard for distributed systems design and resiliency, ensuring graceful degradation during traffic spikes or live events.</p></li>\n</ul><h3><b>Skills &amp; Experience We're Seeking</b></h3><ul>\n<li><p><b>Distributed Systems Experience:</b>10+ years of experience building distributed systems, core backend infrastructure, or high-throughput platforms.</p></li>\n<li><p><b>Low-Latency Systems Engineering:</b>Deep expertise writing clean, highly optimized code in systems languages (e.g., Java, Go, C++, or Rust) with a proven track record of handling high-transaction volumes.</p></li>\n<li><p><b>Concurrency &amp; Algorithmic Design</b><b>:</b>Practical experience with multi-threaded systems design, concurrent programming, and algorithmic design for highly concurrent workloads (including lock-free data structures or lock contention mitigation).</p></li>\n<li><p><b>Networking &amp; I/O Optimization:</b>Understanding of distributed system fundamentals, specifically managing I/O-bound and CPU-bound workloads, network protocols, and data partitioning strategies.</p></li>\n<li><p><b>Performance Measurement &amp; Telemetry:</b>Experience using profiling and diagnostic tools to measure system performance, analyze tail latencies, identify execution hotspots, and build telemetry or monitoring hooks.</p></li>\n<li><p><b>Architecture &amp; Collaboration:</b>Ability to translate complex algorithmic requirements (such as business logic or data science models) into extensible platform components that support multiple teams.</p></li>\n<li><p><b>Modern Development Tooling:</b>Comfort using modern development tools and LLM assistance to accelerate implementation while maintaining architectural oversight and code quality.</p></li>\n</ul>Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $499,000.00 - $900,000.00.<p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.</p><p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> is a unique culture and environment. Learn more here.</p><p>Inclusion is a <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.</p><p>We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</p><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>",
      "description_text": "At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.\n\nWe launched a new ad-supported tierin November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.\n\nOur Team\n\nThe Ads Serving Platform engineering team sits within the Ad Serving & Decisioning org at Netflix Ads. We own the high-throughput, low-latency distributed systems that power real-time ad decisioning. Our work focuses on the core platform architectures supporting ranking and scoring, auction mechanics, budget and pacing systems, and goal-based delivery optimization. We care deeply about how systems work and building resilient systems at scale.\n\nWe are looking for a senior technical leader to own the technical direction of this platform pod, set the architectural bar, and drive execution on the hardest problems in high-throughput systems optimization at Netflix.\n\nWhat You'll Do\n\n-\nTechnical Direction:Help drive the overall technical direction of the ad-serving platform. Partner across engineering teams to ensure the ecosystem meets SLAs, SLOs, and uptime requirements.\n\n-\nLow-Latency Distributed Platform:Architect a concurrent platform optimized for high-throughput systems while monitoring, diagnosing, and mitigating tail latencies across core execution paths.\n\n-\nNetworking & Performance Engineering:Work with I/O-bound and CPU-bound workloads. Profile and tune network and system layers, and build automated performance-benchmarking frameworks within the CI/CD pipeline to identify latency regressions.\n\n-\nModular Platform Design:Build a modular architecture that enables other teams to build on top of the platform. Create entry points for external components like model-serving runtimes, budget/pacing systems, and programmatic demand engines that handle outbound networking and QPS management.\n\n-\nOperational Excellence & Resiliency:Architect a system that is straightforward to operate and maintain. Maintain a high standard for distributed systems design and resiliency, ensuring graceful degradation during traffic spikes or live events.\n\nSkills & Experience We're Seeking\n\n-\nDistributed Systems Experience:10+ years of experience building distributed systems, core backend infrastructure, or high-throughput platforms.\n\n-\nLow-Latency Systems Engineering:Deep expertise writing clean, highly optimized code in systems languages (e.g., Java, Go, C++, or Rust) with a proven track record of handling high-transaction volumes.\n\n-\nConcurrency & Algorithmic Design:Practical experience with multi-threaded systems design, concurrent programming, and algorithmic design for highly concurrent workloads (including lock-free data structures or lock contention mitigation).\n\n-\nNetworking & I/O Optimization:Understanding of distributed system fundamentals, specifically managing I/O-bound and CPU-bound workloads, network protocols, and data partitioning strategies.\n\n-\nPerformance Measurement & Telemetry:Experience using profiling and diagnostic tools to measure system performance, analyze tail latencies, identify execution hotspots, and build telemetry or monitoring hooks.\n\n-\nArchitecture & Collaboration:Ability to translate complex algorithmic requirements (such as business logic or data science models) into extensible platform components that support multiple teams.\n\n-\nModern Development Tooling:Comfort using modern development tools and LLM assistance to accelerate implementation while maintaining architectural oversight and code quality.\n\nGenerally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $499,000.00 - $900,000.00.\nNetflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.\n\nNetflix is a unique culture and environment. Learn more here.\n\nInclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.\n\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.\n\nOriginally posted on Himalayas",
      "published_at": "2026-10-05T22:22:35Z",
      "expires_at": "2026-12-04T22:22:34Z"
    },
    {
      "id": "netflix/research-engineer-4-5-member-lifecycle-and-monetization",
      "title": "Research Engineer 4/5 - Member Lifecycle and Monetization",
      "link": "https://himalayas.app/companies/netflix/jobs/research-engineer-4-5-member-lifecycle-and-monetization",
      "company": {
        "name": "Netflix",
        "slug": "netflix",
        "link": "https://himalayas.app/companies/netflix",
        "logo_link": "https://cdn-images.himalayas.app/6gtq4bkamlky0cuwvxi3m3t60689",
        "is_verified": null
      },
      "employment_type": "full-time",
      "seniority": [
        "senior"
      ],
      "salary": {
        "min": 466000,
        "max": 750000,
        "currency": "USD",
        "period": "annual"
      },
      "location": {
        "countries": [
          "United States"
        ],
        "is_worldwide": false,
        "timezone_offsets": [
          -10,
          -9,
          -8,
          -7,
          -6,
          -5,
          14
        ],
        "has_timezone_restriction": true
      },
      "categories": [
        {
          "name": "Research Engineer",
          "slug": "research-engineer"
        },
        {
          "name": "Machine Learning Engineer",
          "slug": "machine-learning-engineer"
        },
        {
          "name": "Software Engineer",
          "slug": "software-engineer"
        },
        {
          "name": "Data Scientist",
          "slug": "data-scientist"
        },
        {
          "name": "Senior Research Engineer",
          "slug": "senior-research-engineer"
        },
        {
          "name": "Monetization Engineering",
          "slug": "monetization-engineering"
        },
        {
          "name": "Monetization Data Scientist",
          "slug": "monetization-data-scientist"
        }
      ],
      "parent_categories": [
        {
          "name": "Developer",
          "slug": "developer"
        },
        {
          "name": "Data Science",
          "slug": "data-science"
        }
      ],
      "skills": null,
      "requirements": null,
      "excerpt": "At Netflix, our mission is to entertain the world.",
      "description_html": "<p>At <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.</p><p>The Member Lifecycle and Monetization Data Science &amp; Engineering team plays a critical role for <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> in driving and accelerating sustainable growth of members and revenue globally, by leveraging data, experimentation &amp; machine learning to develop compelling and persuasive conversion and monetization experiences post-signup to optimize revenue per member. Machine Learning in these areas is a relatively greenfield area, and comes with the potential for 0-1 applications that can drive millions of dollars of impact at <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>’s scale.</p><p>We are looking for a research engineer to join the team to contribute to operating, as well as innovating on growth and commerce algorithms in production, validating through running offline experiments, and building online A/B tests to run in production systems. You’ll partner with other ML engineers, scientists and product managers on cross-functional ML initiatives.</p><p>To excel in this role, you should have experience with large-scale applications involving machine learning, a good sense of software engineering principles and design, possess strong communication skills, and the ability to work well in large cross-functional teams.</p><h3>In this role, you will:</h3><ul>\n<li><p>Design, implement and operate high impact machine learning models</p></li>\n<li><p>Partner closely with cross-functional teams, including researchers, engineers, data scientists, and product managers, to identify high value applications of machine learning, translating business intuition into data-driven solutions</p></li>\n<li><p>Work closely with scientists and engineers to create scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment in <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>'s large-scale, real-time systems.</p></li>\n<li><p>Contribute to the development of better infrastructure for developing and deploying ML models</p></li>\n<li><p>Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management</p></li>\n</ul><h3>What you’ll bring:</h3><ul>\n<li><p>A degree in Computer Science or a related field</p></li>\n<li><p>4+ years of full time engineering experience</p></li>\n<li><p>Curious, self-motivated, and excited about solving open-ended challenges at <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>.</p></li>\n<li><p>Excellent software design and development skills in multi-language settings with Scala, Java, and Python and software engineering best practices (e.g. version control, testing, code review, etc.)</p></li>\n<li><p>Exceptional communication skills, able to explain complex technical concepts clearly to cross-functional partners</p></li>\n<li><p>Broad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systems</p></li>\n<li><p>Familiarity end-to-end machine learning pipelines (e.g. training or production deployment) and common challenges like explainability.</p></li>\n</ul>Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location.<p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.</p><p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> is a unique culture and environment. Learn more here.</p><p>Inclusionis a <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.</p><p>We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</p><p>Job is open for no less than 7 days and will be removed when the position is filled.</p><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>",
      "description_text": "At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.\n\nThe Member Lifecycle and Monetization Data Science & Engineering team plays a critical role for Netflix in driving and accelerating sustainable growth of members and revenue globally, by leveraging data, experimentation & machine learning to develop compelling and persuasive conversion and monetization experiences post-signup to optimize revenue per member. Machine Learning in these areas is a relatively greenfield area, and comes with the potential for 0-1 applications that can drive millions of dollars of impact at Netflix’s scale.\n\nWe are looking for a research engineer to join the team to contribute to operating, as well as innovating on growth and commerce algorithms in production, validating through running offline experiments, and building online A/B tests to run in production systems. You’ll partner with other ML engineers, scientists and product managers on cross-functional ML initiatives.\n\nTo excel in this role, you should have experience with large-scale applications involving machine learning, a good sense of software engineering principles and design, possess strong communication skills, and the ability to work well in large cross-functional teams.\n\nIn this role, you will:\n\n-\nDesign, implement and operate high impact machine learning models\n\n-\nPartner closely with cross-functional teams, including researchers, engineers, data scientists, and product managers, to identify high value applications of machine learning, translating business intuition into data-driven solutions\n\n-\nWork closely with scientists and engineers to create scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment in Netflix's large-scale, real-time systems.\n\n-\nContribute to the development of better infrastructure for developing and deploying ML models\n\n-\nAdvocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management\n\nWhat you’ll bring:\n\n-\nA degree in Computer Science or a related field\n\n-\n4+ years of full time engineering experience\n\n-\nCurious, self-motivated, and excited about solving open-ended challenges at Netflix.\n\n-\nExcellent software design and development skills in multi-language settings with Scala, Java, and Python and software engineering best practices (e.g. version control, testing, code review, etc.)\n\n-\nExceptional communication skills, able to explain complex technical concepts clearly to cross-functional partners\n\n-\nBroad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systems\n\n-\nFamiliarity end-to-end machine learning pipelines (e.g. training or production deployment) and common challenges like explainability.\n\nGenerally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location.\nNetflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.\n\nNetflix is a unique culture and environment. Learn more here.\n\nInclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.\n\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.\n\nJob is open for no less than 7 days and will be removed when the position is filled.\n\nOriginally posted on Himalayas",
      "published_at": "2026-10-05T21:15:00Z",
      "expires_at": "2026-12-04T21:14:59Z"
    },
    {
      "id": "netflix/analytics-engineer-5-identity-signal",
      "title": "Analytics Engineer 5 - Identity & Signal",
      "link": "https://himalayas.app/companies/netflix/jobs/analytics-engineer-5-identity-signal",
      "company": {
        "name": "Netflix",
        "slug": "netflix",
        "link": "https://himalayas.app/companies/netflix",
        "logo_link": "https://cdn-images.himalayas.app/6gtq4bkamlky0cuwvxi3m3t60689",
        "is_verified": null
      },
      "employment_type": "full-time",
      "seniority": [
        "senior"
      ],
      "salary": {
        "min": 330000,
        "max": 566000,
        "currency": "USD",
        "period": "annual"
      },
      "location": {
        "countries": [
          "United States"
        ],
        "is_worldwide": false,
        "timezone_offsets": [
          -10,
          -9,
          -8,
          -7,
          -6,
          -5,
          14
        ],
        "has_timezone_restriction": true
      },
      "categories": [
        {
          "name": "Analytics Engineer",
          "slug": "analytics-engineer"
        },
        {
          "name": "Data Engineer",
          "slug": "data-engineer"
        },
        {
          "name": "Identity Engineer",
          "slug": "identity-engineer"
        },
        {
          "name": "Ad Tech Engineer",
          "slug": "ad-tech-engineer"
        },
        {
          "name": "Data Infrastructure Engineer",
          "slug": "data-infrastructure-engineer"
        },
        {
          "name": "Senior Data Analytics Engineer",
          "slug": "senior-data-analytics-engineer"
        },
        {
          "name": "Senior Data And Insights Engineer",
          "slug": "senior-data-and-insights-engineer"
        },
        {
          "name": "Analytics Software Engineer",
          "slug": "analytics-software-engineer"
        }
      ],
      "parent_categories": [
        {
          "name": "Data Science",
          "slug": "data-science"
        }
      ],
      "skills": null,
      "requirements": null,
      "excerpt": "At Netflix, our mission is to entertain the world.",
      "description_html": "<p>At <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.</p><p>In 2022 we launched a new lower-priced, ad-supported tier, and we are building an in-house, world-class ad-tech ecosystem to give our members more choice and to offer advertisers a premium, better-than-linear-TV experience. We are looking for the founding members of this new business area for <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>.</p><p>The Identity &amp; Signals team builds the identity foundation of the <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> ads business — the graph and matching systems that let us recognize the same person or household across signals, devices, and partner data sources, and that determine which signals we can responsibly and accurately use for targeting, measurement, and reporting. We build and maintain the identity graph, run and evaluate entity-matching and resolution pipelines, and manage relationships with identity providers so that advertisers and internal teams can trust the signals underneath every campaign.</p><p>This is a foundational role on a small, high-leverage team. You will build the analytics and data infrastructure that powers identity matching and graph construction — designing the tables, pipelines, and metrics that let the team and its stakeholders understand match quality, coverage, and drift over time. You'll work end-to-end: from raw signal ingestion, through matching logic and graph construction, to the dashboards and data products that make identity health visible and actionable across the company.</p><h3>In this role, you will:</h3><ul>\n<li>Design, build, and maintain the data models and pipelines that support identity graph construction, entity matching, and identity resolution across first-party and third-party signals.</li>\n<li>Partner with data engineering and software engineering to productionize matching logic, ensuring pipelines are scalable, well-tested, and monitored for data quality and drift.</li>\n<li>Build metrics, dashboards, and analytics that quantify match rate, match quality, coverage, and graph stability, and that surface anomalies before they affect downstream campaigns.</li>\n<li>Work closely with data science to evaluate and improve matching algorithms, providing the clean, well-documented data and features needed to test and iterate on models.</li>\n<li>Manage and evaluate the analytics relationship with external identity providers (e.g., Experian, TransUnion, LiveRamp), including onboarding new sources, validating match performance, and monitoring ongoing data quality.</li>\n<li>Translate identity graph and matching concepts — nodes, edges, match confidence, deterministic vs. probabilistic matching — into clear, actionable insights for product, sales, and other non-technical stakeholders.</li>\n<li>Collaborate with product and cross-functional partners to define identity requirements, evaluate trade-offs (accuracy vs. coverage vs. privacy), and prioritize roadmap work.</li>\n<li>Communicate technical decisions, trade-offs, and results clearly to both technical and non-technical audiences at all levels of the company.</li>\n</ul><h3>We are looking for:</h3><ul>\n<li>5+ years of experience as an analytics engineer, data engineer, or similar role working with large-scale data.</li>\n<li>Experience working with graph data structures and graph-based data models (e.g., property graphs, graph databases, or graph analytics on top of relational/columnar stores).</li>\n<li>Familiarity with entity matching / identity resolution concepts — deterministic and probabilistic matching, fuzzy matching, blocking/candidate generation, and match quality evaluation.</li>\n<li>Knowledge of, or direct experience working with, identity providers such as Experian, TransUnion, LiveRamp, or similar data/identity partners.</li>\n<li>Strong SQL and Python skills, with experience building and maintaining production data pipelines.</li>\n<li>Experience designing data models, metrics, and dashboards that make complex technical systems understandable to non-technical stakeholders.</li>\n<li>Demonstrated ability to collaborate closely across data engineering, software engineering, data science, and product teams.</li>\n<li>Ability to work independently, drive your own projects, and make compelling cases for prioritization.</li>\n<li>Embodies the <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> values while bringing a new perspective to continue improving our culture.</li>\n</ul><h3>Nice to have:</h3><ul>\n<li>Experience with ad-tech identity concepts — cross-device identity, household graphs, cookie/ID deprecation, or media measurement.</li>\n<li>Experience with graph databases or graph-processing frameworks (e.g., Neo4j, Neptune, GraphFrames, or similar).</li>\n<li>Familiarity with our ML/data stack (Metaflow) or comparable large-scale data tooling.</li>\n<li>Experience working with privacy-sensitive data and an understanding of relevant data governance and privacy considerations for identity data.</li>\n<li>Experience applying GenAI to boost developer/analytics productivity.</li>\n</ul>Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $330,000.00 - $566,000.00. This compensation range will vary based on location.<p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.</p><p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> is a unique culture and environment. Learn more here.</p><p>Inclusionis a <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.</p><p>We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</p><p>Job is open for no less than 7 days and will be removed when the position is filled.</p><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>",
      "description_text": "At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.\n\nIn 2022 we launched a new lower-priced, ad-supported tier, and we are building an in-house, world-class ad-tech ecosystem to give our members more choice and to offer advertisers a premium, better-than-linear-TV experience. We are looking for the founding members of this new business area for Netflix.\n\nThe Identity & Signals team builds the identity foundation of the Netflix ads business — the graph and matching systems that let us recognize the same person or household across signals, devices, and partner data sources, and that determine which signals we can responsibly and accurately use for targeting, measurement, and reporting. We build and maintain the identity graph, run and evaluate entity-matching and resolution pipelines, and manage relationships with identity providers so that advertisers and internal teams can trust the signals underneath every campaign.\n\nThis is a foundational role on a small, high-leverage team. You will build the analytics and data infrastructure that powers identity matching and graph construction — designing the tables, pipelines, and metrics that let the team and its stakeholders understand match quality, coverage, and drift over time. You'll work end-to-end: from raw signal ingestion, through matching logic and graph construction, to the dashboards and data products that make identity health visible and actionable across the company.\n\nIn this role, you will:\n- Design, build, and maintain the data models and pipelines that support identity graph construction, entity matching, and identity resolution across first-party and third-party signals.\n- Partner with data engineering and software engineering to productionize matching logic, ensuring pipelines are scalable, well-tested, and monitored for data quality and drift.\n- Build metrics, dashboards, and analytics that quantify match rate, match quality, coverage, and graph stability, and that surface anomalies before they affect downstream campaigns.\n- Work closely with data science to evaluate and improve matching algorithms, providing the clean, well-documented data and features needed to test and iterate on models.\n- Manage and evaluate the analytics relationship with external identity providers (e.g., Experian, TransUnion, LiveRamp), including onboarding new sources, validating match performance, and monitoring ongoing data quality.\n- Translate identity graph and matching concepts — nodes, edges, match confidence, deterministic vs. probabilistic matching — into clear, actionable insights for product, sales, and other non-technical stakeholders.\n- Collaborate with product and cross-functional partners to define identity requirements, evaluate trade-offs (accuracy vs. coverage vs. privacy), and prioritize roadmap work.\n- Communicate technical decisions, trade-offs, and results clearly to both technical and non-technical audiences at all levels of the company.\n\nWe are looking for:\n- 5+ years of experience as an analytics engineer, data engineer, or similar role working with large-scale data.\n- Experience working with graph data structures and graph-based data models (e.g., property graphs, graph databases, or graph analytics on top of relational/columnar stores).\n- Familiarity with entity matching / identity resolution concepts — deterministic and probabilistic matching, fuzzy matching, blocking/candidate generation, and match quality evaluation.\n- Knowledge of, or direct experience working with, identity providers such as Experian, TransUnion, LiveRamp, or similar data/identity partners.\n- Strong SQL and Python skills, with experience building and maintaining production data pipelines.\n- Experience designing data models, metrics, and dashboards that make complex technical systems understandable to non-technical stakeholders.\n- Demonstrated ability to collaborate closely across data engineering, software engineering, data science, and product teams.\n- Ability to work independently, drive your own projects, and make compelling cases for prioritization.\n- Embodies the Netflix values while bringing a new perspective to continue improving our culture.\n\nNice to have:\n- Experience with ad-tech identity concepts — cross-device identity, household graphs, cookie/ID deprecation, or media measurement.\n- Experience with graph databases or graph-processing frameworks (e.g., Neo4j, Neptune, GraphFrames, or similar).\n- Familiarity with our ML/data stack (Metaflow) or comparable large-scale data tooling.\n- Experience working with privacy-sensitive data and an understanding of relevant data governance and privacy considerations for identity data.\n- Experience applying GenAI to boost developer/analytics productivity.\n\nGenerally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $330,000.00 - $566,000.00. This compensation range will vary based on location.\nNetflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.\n\nNetflix is a unique culture and environment. Learn more here.\n\nInclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.\n\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.\n\nJob is open for no less than 7 days and will be removed when the position is filled.\n\nOriginally posted on Himalayas",
      "published_at": "2026-10-05T21:10:00Z",
      "expires_at": "2026-12-04T21:09:59Z"
    },
    {
      "id": "netflix/machine-learning-engineer-5-ads-measurement",
      "title": "Machine Learning Engineer 5 - Ads Measurement",
      "link": "https://himalayas.app/companies/netflix/jobs/machine-learning-engineer-5-ads-measurement",
      "company": {
        "name": "Netflix",
        "slug": "netflix",
        "link": "https://himalayas.app/companies/netflix",
        "logo_link": "https://cdn-images.himalayas.app/6gtq4bkamlky0cuwvxi3m3t60689",
        "is_verified": null
      },
      "employment_type": "full-time",
      "seniority": [
        "senior"
      ],
      "salary": {
        "min": 466000,
        "max": 750000,
        "currency": "USD",
        "period": "annual"
      },
      "location": {
        "countries": [
          "United States"
        ],
        "is_worldwide": false,
        "timezone_offsets": [
          -10,
          -9,
          -8,
          -7,
          -6,
          -5,
          14
        ],
        "has_timezone_restriction": true
      },
      "categories": [
        {
          "name": "Machine Learning Engineer",
          "slug": "machine-learning-engineer"
        },
        {
          "name": "Software Engineer",
          "slug": "software-engineer"
        },
        {
          "name": "Backend Engineer",
          "slug": "backend-engineer"
        },
        {
          "name": "Data Engineer",
          "slug": "data-engineer"
        },
        {
          "name": "Measurement Engineer",
          "slug": "measurement-engineer"
        },
        {
          "name": "Ads Machine Learning Engineer",
          "slug": "ads-machine-learning-engineer"
        },
        {
          "name": "Ads ML Engineer",
          "slug": "ads-ml-engineer"
        },
        {
          "name": "Staff Ads Measurement Engineer",
          "slug": "staff-ads-measurement-engineer"
        },
        {
          "name": "Principal Ads ML Engineer",
          "slug": "principal-ads-ml-engineer"
        },
        {
          "name": "Applied Machine Learning Engineer",
          "slug": "applied-machine-learning-engineer"
        },
        {
          "name": "Lead Machine Learning Engineer",
          "slug": "lead-machine-learning-engineer"
        },
        {
          "name": "Ads Machine Learning",
          "slug": "ads-machine-learning"
        }
      ],
      "parent_categories": [
        {
          "name": "Data Science",
          "slug": "data-science"
        },
        {
          "name": "Developer",
          "slug": "developer"
        }
      ],
      "skills": null,
      "requirements": null,
      "excerpt": "At Netflix, our mission is to entertain the world.",
      "description_html": "<p>At <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.</p><p>We launched a new ad-supported tierin November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point, while also creating a compelling path for advertisers to reach audiences that are deeply engaged.</p><h3>Our Team</h3><p>The Ads Platform Engineering teams build advertising systems and integrations that powers the delivery of ads using our world class content delivery ecosystem. We use a number of <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> investments and innovations to power our ads - unique mix of client and server side ad insertions, state of the art content delivery system, ad encoding recipes, content understanding and metadata etc. We deliver ads in a manner that’s thoughtful of our member’s viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them.</p><p><b>Ads Measurement Engineering Team</b>builds scalable platforms and services that power advertising measurement for <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>. The team develops distributed data processing systems and ML-powered measurement solutions for products such as Brand Lift, Incrementality, Attribution, and Measurement Insights, enabling accurate, privacy-safe, and scientifically rigorous measurement of advertising effectiveness.</p><p>Our team is new and yet faced with the enormous ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time.</p><p>We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey.</p><h3>Skills &amp; experience we’re seeking:</h3><ul>\n<li><p>Experience building advertising measurement products (e.g., Brand Lift, Conversion lift and attribution measurement, advertiser A/B testing, Measurement Intelligence).</p></li>\n<li><p>Experience building and operating production machine learning systems at scale.</p></li>\n<li><p>Experience productionizing machine learning models and partnering closely with Data Scientists.</p></li>\n<li><p>Strong software engineering skills building scalable backend services and data pipelines.</p></li>\n<li><h3>Proficiency in Java, Python, or Scala.</h3></li>\n</ul><h3>Nice to haves:</h3><ul>\n<li><p>Experience with causal inference, experimentation, or marketing science.</p></li>\n<li><p>Experience with streaming and large-scale data processing (e.g., Spark, Flink).</p></li>\n<li><p>Experience with MLOps, model serving, and production ML operations.</p></li>\n<li><p>Experience building customer-facing analytics or measurement platforms.</p></li>\n<li><p>Experience working in the AdTech or MarTech ecosystem.</p></li>\n</ul>Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00.<p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.</p><p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> is a unique culture and environment. Learn more here.</p><p>Inclusion is a <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.</p><p>We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</p><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>",
      "description_text": "At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.\n\nWe launched a new ad-supported tierin November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point, while also creating a compelling path for advertisers to reach audiences that are deeply engaged.\n\nOur Team\n\nThe Ads Platform Engineering teams build advertising systems and integrations that powers the delivery of ads using our world class content delivery ecosystem. We use a number of Netflix investments and innovations to power our ads - unique mix of client and server side ad insertions, state of the art content delivery system, ad encoding recipes, content understanding and metadata etc. We deliver ads in a manner that’s thoughtful of our member’s viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them.\n\nAds Measurement Engineering Teambuilds scalable platforms and services that power advertising measurement for Netflix. The team develops distributed data processing systems and ML-powered measurement solutions for products such as Brand Lift, Incrementality, Attribution, and Measurement Insights, enabling accurate, privacy-safe, and scientifically rigorous measurement of advertising effectiveness.\n\nOur team is new and yet faced with the enormous ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time.\n\nWe are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey.\n\nSkills & experience we’re seeking:\n\n-\nExperience building advertising measurement products (e.g., Brand Lift, Conversion lift and attribution measurement, advertiser A/B testing, Measurement Intelligence).\n\n-\nExperience building and operating production machine learning systems at scale.\n\n-\nExperience productionizing machine learning models and partnering closely with Data Scientists.\n\n-\nStrong software engineering skills building scalable backend services and data pipelines.\n\n-\nProficiency in Java, Python, or Scala.\n\nNice to haves:\n\n-\nExperience with causal inference, experimentation, or marketing science.\n\n-\nExperience with streaming and large-scale data processing (e.g., Spark, Flink).\n\n-\nExperience with MLOps, model serving, and production ML operations.\n\n-\nExperience building customer-facing analytics or measurement platforms.\n\n-\nExperience working in the AdTech or MarTech ecosystem.\n\nGenerally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00.\nNetflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.\n\nNetflix is a unique culture and environment. Learn more here.\n\nInclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.\n\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.\n\nOriginally posted on Himalayas",
      "published_at": "2026-10-05T21:08:29Z",
      "expires_at": "2026-12-04T21:08:28Z"
    },
    {
      "id": "netflix/software-engineer-6-ads-identity-privacy",
      "title": "Software Engineer 6 - Ads Identity & Privacy",
      "link": "https://himalayas.app/companies/netflix/jobs/software-engineer-6-ads-identity-privacy",
      "company": {
        "name": "Netflix",
        "slug": "netflix",
        "link": "https://himalayas.app/companies/netflix",
        "logo_link": "https://cdn-images.himalayas.app/6gtq4bkamlky0cuwvxi3m3t60689",
        "is_verified": null
      },
      "employment_type": "full-time",
      "seniority": [
        "senior"
      ],
      "salary": {
        "min": 499000,
        "max": 900000,
        "currency": "USD",
        "period": "annual"
      },
      "location": {
        "countries": [
          "United States"
        ],
        "is_worldwide": false,
        "timezone_offsets": [
          -10,
          -9,
          -8,
          -7,
          -6,
          -5,
          14
        ],
        "has_timezone_restriction": true
      },
      "categories": [
        {
          "name": "Data Privacy Engineer",
          "slug": "data-privacy-engineer"
        },
        {
          "name": "Software Engineer",
          "slug": "software-engineer"
        },
        {
          "name": "Ad Tech Engineer",
          "slug": "ad-tech-engineer"
        },
        {
          "name": "Backend Engineer",
          "slug": "backend-engineer"
        },
        {
          "name": "Privacy Engineering",
          "slug": "privacy-engineering"
        },
        {
          "name": "Ads Engineer",
          "slug": "ads-engineer"
        },
        {
          "name": "Ads Software Engineering",
          "slug": "ads-software-engineering"
        },
        {
          "name": "Ad Platform Engineer",
          "slug": "ad-platform-engineer"
        },
        {
          "name": "Identity Security Engineer",
          "slug": "identity-security-engineer"
        }
      ],
      "parent_categories": [
        {
          "name": "Developer",
          "slug": "developer"
        }
      ],
      "skills": null,
      "requirements": null,
      "excerpt": "At Netflix, our mission is to entertain the world.",
      "description_html": "<p>At <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.</p><p>We launched a new ad-supported tierin November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.</p><h3><b>Our Team</b></h3><p>The <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> Ads Identity and Audiences team is committed to providing a relevant and engaging advertising experience that prioritizes member privacy. Our mission is to maintain accurate member identities, ensuring that ads are both engaging and compliant with consumer privacy choices and regional regulations.</p><h3><b>The Role</b></h3><p>As a Privacy Software Engineer on the Ads Identity and Audiences team, you will play a crucial role in safeguarding <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> member privacy across the <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> Ads Suite. Your primary focus will be on designing and implementing privacy-preserving technologies that ensure ads are not only engaging but also fully respectful of consumer privacy choices and compliant with regional regulations.</p><p>In this dynamic and innovative environment, your contributions will have a significant impact on how we protect member data and privacy. You will collaborate with a team of talented professionals who are deeply passionate about technology and privacy, fostering a culture that values creativity, diversity, and continuous learning.</p><h3><b>Skills &amp; experience we’re seeking:</b></h3><ul>\n<li><p>Professional experience in designing and building privacy features for ad platforms, with a focus on user data protection and compliance.</p></li>\n<li><p>Strong understanding of data privacy, governance, and security concepts, including Privacy by Design principles.</p></li>\n<li><p>Experience with implementing data privacy protections such as data minimization, encryption, and deidentification techniques.</p></li>\n<li><p>In-depth knowledge of regional privacy regulations, e.g. GDPR (General Data Protection Regulation), CCPA (California Consumer Privacy Act), and CPRA (California Privacy Rights Act).</p></li>\n<li><p>Proficiency in programming languages such as Java, Python, C++, or similar, with a strong grasp of software development principles and design patterns.</p></li>\n<li><p>Experience in developing distributed cloud-based applications and proficiency in modern programming languages, preferably object-oriented.</p></li>\n<li><p>Proven experience in handling data at extremely large volumes with big data tools like Spark, and building high throughput low latency distributed systems that utilized the big data.</p></li>\n<li><p>Ability to thrive in a fast-paced, dynamic environment and effectively manage multiple priorities.</p></li>\n<li><p>Knowledge of the ad tech and advertising landscape, including programmatic advertising and digital marketing trends.</p></li>\n<li><p>Excellent communication, negotiation, and relationship-building skills, with the ability to work collaboratively with cross-functional teams.</p></li>\n</ul><h3><b>Nice to haves:</b></h3><ul>\n<li><p>Experience with Privacy Enhancing Technologies (PETs)</p></li>\n<li><p>Experience integrating with Consent Management Platforms (CMPs)</p></li>\n<li><p>Experience working in the CTV space and knowledge of its unique constraints.</p></li>\n<li><p>Contribution to ad tech privacy industry groups (e.g. IAB Tech Lab).</p></li>\n</ul>Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $499,000.00 - $900,000.00.<p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.</p><p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> is a unique culture and environment. Learn more here.</p><p>Inclusion is a <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.</p><p>We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</p><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>",
      "description_text": "At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.\n\nWe launched a new ad-supported tierin November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.\n\nOur Team\n\nThe Netflix Ads Identity and Audiences team is committed to providing a relevant and engaging advertising experience that prioritizes member privacy. Our mission is to maintain accurate member identities, ensuring that ads are both engaging and compliant with consumer privacy choices and regional regulations.\n\nThe Role\n\nAs a Privacy Software Engineer on the Ads Identity and Audiences team, you will play a crucial role in safeguarding Netflix member privacy across the Netflix Ads Suite. Your primary focus will be on designing and implementing privacy-preserving technologies that ensure ads are not only engaging but also fully respectful of consumer privacy choices and compliant with regional regulations.\n\nIn this dynamic and innovative environment, your contributions will have a significant impact on how we protect member data and privacy. You will collaborate with a team of talented professionals who are deeply passionate about technology and privacy, fostering a culture that values creativity, diversity, and continuous learning.\n\nSkills & experience we’re seeking:\n\n-\nProfessional experience in designing and building privacy features for ad platforms, with a focus on user data protection and compliance.\n\n-\nStrong understanding of data privacy, governance, and security concepts, including Privacy by Design principles.\n\n-\nExperience with implementing data privacy protections such as data minimization, encryption, and deidentification techniques.\n\n-\nIn-depth knowledge of regional privacy regulations, e.g. GDPR (General Data Protection Regulation), CCPA (California Consumer Privacy Act), and CPRA (California Privacy Rights Act).\n\n-\nProficiency in programming languages such as Java, Python, C++, or similar, with a strong grasp of software development principles and design patterns.\n\n-\nExperience in developing distributed cloud-based applications and proficiency in modern programming languages, preferably object-oriented.\n\n-\nProven experience in handling data at extremely large volumes with big data tools like Spark, and building high throughput low latency distributed systems that utilized the big data.\n\n-\nAbility to thrive in a fast-paced, dynamic environment and effectively manage multiple priorities.\n\n-\nKnowledge of the ad tech and advertising landscape, including programmatic advertising and digital marketing trends.\n\n-\nExcellent communication, negotiation, and relationship-building skills, with the ability to work collaboratively with cross-functional teams.\n\nNice to haves:\n\n-\nExperience with Privacy Enhancing Technologies (PETs)\n\n-\nExperience integrating with Consent Management Platforms (CMPs)\n\n-\nExperience working in the CTV space and knowledge of its unique constraints.\n\n-\nContribution to ad tech privacy industry groups (e.g. IAB Tech Lab).\n\nGenerally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $499,000.00 - $900,000.00.\nNetflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.\n\nNetflix is a unique culture and environment. Learn more here.\n\nInclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.\n\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.\n\nOriginally posted on Himalayas",
      "published_at": "2026-10-05T19:16:31Z",
      "expires_at": "2026-12-04T19:16:29Z"
    },
    {
      "id": "netflix/capacity-analyst-l5-fleet-planner",
      "title": "Capacity Analyst (L5) - Fleet Planner",
      "link": "https://himalayas.app/companies/netflix/jobs/capacity-analyst-l5-fleet-planner",
      "company": {
        "name": "Netflix",
        "slug": "netflix",
        "link": "https://himalayas.app/companies/netflix",
        "logo_link": "https://cdn-images.himalayas.app/6gtq4bkamlky0cuwvxi3m3t60689",
        "is_verified": null
      },
      "employment_type": "full-time",
      "seniority": [
        "senior"
      ],
      "salary": {
        "min": 300000,
        "max": 520000,
        "currency": "USD",
        "period": "annual"
      },
      "location": {
        "countries": [
          "United States"
        ],
        "is_worldwide": false,
        "timezone_offsets": [
          -10,
          -9,
          -8,
          -7,
          -6,
          -5,
          14
        ],
        "has_timezone_restriction": true
      },
      "categories": [
        {
          "name": "Capacity Analyst",
          "slug": "capacity-analyst"
        },
        {
          "name": "Fleet Planning",
          "slug": "fleet-planning"
        },
        {
          "name": "Network Infrastructure Planner",
          "slug": "network-infrastructure-planner"
        },
        {
          "name": "Capacity Planning Specialist",
          "slug": "capacity-planning-specialist"
        },
        {
          "name": "Data Center Analyst",
          "slug": "data-center-analyst"
        },
        {
          "name": "Capacity Planning Analyst",
          "slug": "capacity-planning-analyst"
        },
        {
          "name": "Fleet Analyst",
          "slug": "fleet-analyst"
        },
        {
          "name": "Resource Planning Analyst",
          "slug": "resource-planning-analyst"
        }
      ],
      "parent_categories": [],
      "skills": null,
      "requirements": null,
      "excerpt": "At Netflix, our mission is to entertain the world.",
      "description_html": "<p>At <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.</p><p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> is looking for a planner to lead fleet planning and optimization for our global hardware infrastructure. In this role, you will own the end-to-end strategy for how <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> acquires, deploys, and retires physical hardware assets — ensuring we have the right capacity, in the right place, at the right time, to power the world's leading streaming service.</p><p>You'll work at the intersection of engineering, finance, and supply chain, translating complex demand signals into actionable fleet strategies. This is a high-impact, high-visibility role that requires both deep analytical rigor and the ability to influence senior stakeholders across the organization.</p><h3>About the Team</h3><p>The Open Connect Infrastructure Capacity Planning team plays a central role in ensuring that our members and internal customers consistently enjoy a seamless experience, achieved through the timely deployment and ongoing management of <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>’s owned infrastructure capacity. Our team is dedicated to the development of long-range capacity forecasts that are forward-looking, adaptable to rapidly evolving product needs, and focused on efficiency. We collaborate closely with a diverse range of cross-functional stakeholders to understand their current and future infrastructure requirements and make strategic recommendations around product implementation and design. Some of our team’s core responsibilities include:</p><ul>\n<li><p><b>Development of Long-Range Infrastructure Capacity Strategies</b>:Create forward-looking strategies that inform long-term financial planning, network design, and near-term deployment and implementation decisions.</p></li>\n<li><p><b>Effective Infrastructure Allocation</b>: Convert demand forecasts across multiple products into clear, actionable capacity plans and strategic recommendations to drive investment decisions. Balance infrastructure availability across product types.</p></li>\n<li><p><b>Data-Driven Analyses for Platform Optimization and Scalability</b>: Conduct ongoing, data-driven analyses focused on optimizing efficiency, spend, and architectural direction while ensuring long-term platform scalability and resiliency.</p></li>\n<li><p><b>Risk Assessment &amp; Management</b>: Identification of potential risks related to capacity shortages or excesses and development of mitigation strategies.</p></li>\n<li><p><b>Infrastructure Performance Monitoring</b>: Continuous tracking of infrastructure performance and utilization to identify bottlenecks or inefficiencies.</p></li>\n</ul><h3><b>What You'll Do</b></h3><ul>\n<li><p>Own the multi-year fleet refresh plan for <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>'s global hardware infrastructure, including servers, networking equipment, and storage systems, translating engineering roadmaps and business priorities into coherent long-term fleet plans.</p></li>\n<li><p>Partner with Engineering, Finance, and Supply Chain teams to align fleet strategy with business priorities and budget constraints</p></li>\n<li><p>Collaborate cross-functionally to define and track key fleet health metrics (utilization, age distribution, failure rates) to drive continuous optimization and life-cycle optimization</p></li>\n<li><p>Lead hardware procurement planning in collaboration with Business Operations team, ensuring supply meets demand without over-provisioning</p></li>\n<li><p>Identify opportunities to reduce total cost of ownership (TCO) through smarter fleet composition, lifecycle management, and decommissioning strategies, and build the business case for those changes.</p></li>\n<li><p>Build and present fleet planning roadmaps and recommendations to senior leadership</p></li>\n<li><p>Drive cross-functional alignment on fleet standards, refresh policies, and end-of-life decisions, ensuring consistency across engineering and infrastructure teams.</p></li>\n<li><p>Act as a thought partner to engineering leads on how emerging hardware technologies and architectural changes should influence future fleet composition.</p></li>\n</ul><h3>What you’ll bring to the role</h3><ul>\n<li><p>5+ years of experience in capacity planning for data center or cloud platforms, or network planning.</p></li>\n<li><p>5+ years of hands-on experience in data analysis and visualization, with proficiency in SQL, Python a plus.</p></li>\n<li><p>Knowledge of — or strong curiosity about — the internet, or telecom ecosystem</p></li>\n<li><p>Excellent verbal and written communication skills, with the ability to tailor messaging for both technical and executive audiences.</p></li>\n<li><p>A track record of turning ambiguous, cross-functional problems into structured plans, even when the underlying data is incomplete.</p></li>\n<li><p>Comfort operating independently while building consensus across teams that don't report to you.</p></li>\n<li><p>Technical Program Management Experience is preferred</p></li>\n<li><h3>Proficiency in AI tools</h3></li>\n</ul><h3>Nice to Have</h3><ul>\n<li><p>A degree in Management Information Systems, Management Consulting, Statistics, or a related quantitative field — or equivalent hands-on experience.</p></li>\n<li><p>Technical Program Management experience, particularly in environments spanning engineering, finance, and operations.</p></li>\n<li><p>Familiarity with hardware lifecycle management, procurement processes, or supply-chain planning.</p></li>\n<li><p>Experience building financial or TCO models to support infrastructure investment decisions.</p></li>\n</ul><p>We know great candidates come from a range of backgrounds and paths, so if you don't check every box above but bring strong, relevant experience, we still encourage you to apply.</p><h3>Why Join This Team</h3><p>This is an opportunity to shape how <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> plans and invests in the physical infrastructure that delivers streaming to hundreds of millions of members worldwide. You'll have visibility into decisions that carry real financial and operational weight, direct exposure to senior leadership, and the chance to build planning frameworks that will scale with <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>'s continued growth. If you enjoy working where data, strategy, and cross-functional influence meet, this role offers a rare amount of ownership over that intersection.</p>Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $300,000.00 - $520,000.00. This compensation range will vary based on location.<p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.</p><p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> is a unique culture and environment. Learn more here.</p><p>Inclusionis a <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.</p><p>We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</p><p>Job is open for no less than 7 days and will be removed when the position is filled.</p><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>",
      "description_text": "At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.\n\nNetflix is looking for a planner to lead fleet planning and optimization for our global hardware infrastructure. In this role, you will own the end-to-end strategy for how Netflix acquires, deploys, and retires physical hardware assets — ensuring we have the right capacity, in the right place, at the right time, to power the world's leading streaming service.\n\nYou'll work at the intersection of engineering, finance, and supply chain, translating complex demand signals into actionable fleet strategies. This is a high-impact, high-visibility role that requires both deep analytical rigor and the ability to influence senior stakeholders across the organization.\n\nAbout the Team\n\nThe Open Connect Infrastructure Capacity Planning team plays a central role in ensuring that our members and internal customers consistently enjoy a seamless experience, achieved through the timely deployment and ongoing management of Netflix’s owned infrastructure capacity. Our team is dedicated to the development of long-range capacity forecasts that are forward-looking, adaptable to rapidly evolving product needs, and focused on efficiency. We collaborate closely with a diverse range of cross-functional stakeholders to understand their current and future infrastructure requirements and make strategic recommendations around product implementation and design. Some of our team’s core responsibilities include:\n\n-\nDevelopment of Long-Range Infrastructure Capacity Strategies:Create forward-looking strategies that inform long-term financial planning, network design, and near-term deployment and implementation decisions.\n\n-\nEffective Infrastructure Allocation: Convert demand forecasts across multiple products into clear, actionable capacity plans and strategic recommendations to drive investment decisions. Balance infrastructure availability across product types.\n\n-\nData-Driven Analyses for Platform Optimization and Scalability: Conduct ongoing, data-driven analyses focused on optimizing efficiency, spend, and architectural direction while ensuring long-term platform scalability and resiliency.\n\n-\nRisk Assessment & Management: Identification of potential risks related to capacity shortages or excesses and development of mitigation strategies.\n\n-\nInfrastructure Performance Monitoring: Continuous tracking of infrastructure performance and utilization to identify bottlenecks or inefficiencies.\n\nWhat You'll Do\n\n-\nOwn the multi-year fleet refresh plan for Netflix's global hardware infrastructure, including servers, networking equipment, and storage systems, translating engineering roadmaps and business priorities into coherent long-term fleet plans.\n\n-\nPartner with Engineering, Finance, and Supply Chain teams to align fleet strategy with business priorities and budget constraints\n\n-\nCollaborate cross-functionally to define and track key fleet health metrics (utilization, age distribution, failure rates) to drive continuous optimization and life-cycle optimization\n\n-\nLead hardware procurement planning in collaboration with Business Operations team, ensuring supply meets demand without over-provisioning\n\n-\nIdentify opportunities to reduce total cost of ownership (TCO) through smarter fleet composition, lifecycle management, and decommissioning strategies, and build the business case for those changes.\n\n-\nBuild and present fleet planning roadmaps and recommendations to senior leadership\n\n-\nDrive cross-functional alignment on fleet standards, refresh policies, and end-of-life decisions, ensuring consistency across engineering and infrastructure teams.\n\n-\nAct as a thought partner to engineering leads on how emerging hardware technologies and architectural changes should influence future fleet composition.\n\nWhat you’ll bring to the role\n\n-\n5+ years of experience in capacity planning for data center or cloud platforms, or network planning.\n\n-\n5+ years of hands-on experience in data analysis and visualization, with proficiency in SQL, Python a plus.\n\n-\nKnowledge of — or strong curiosity about — the internet, or telecom ecosystem\n\n-\nExcellent verbal and written communication skills, with the ability to tailor messaging for both technical and executive audiences.\n\n-\nA track record of turning ambiguous, cross-functional problems into structured plans, even when the underlying data is incomplete.\n\n-\nComfort operating independently while building consensus across teams that don't report to you.\n\n-\nTechnical Program Management Experience is preferred\n\n-\nProficiency in AI tools\n\nNice to Have\n\n-\nA degree in Management Information Systems, Management Consulting, Statistics, or a related quantitative field — or equivalent hands-on experience.\n\n-\nTechnical Program Management experience, particularly in environments spanning engineering, finance, and operations.\n\n-\nFamiliarity with hardware lifecycle management, procurement processes, or supply-chain planning.\n\n-\nExperience building financial or TCO models to support infrastructure investment decisions.\n\nWe know great candidates come from a range of backgrounds and paths, so if you don't check every box above but bring strong, relevant experience, we still encourage you to apply.\n\nWhy Join This Team\n\nThis is an opportunity to shape how Netflix plans and invests in the physical infrastructure that delivers streaming to hundreds of millions of members worldwide. You'll have visibility into decisions that carry real financial and operational weight, direct exposure to senior leadership, and the chance to build planning frameworks that will scale with Netflix's continued growth. If you enjoy working where data, strategy, and cross-functional influence meet, this role offers a rare amount of ownership over that intersection.\nGenerally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $300,000.00 - $520,000.00. This compensation range will vary based on location.\nNetflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.\n\nNetflix is a unique culture and environment. Learn more here.\n\nInclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.\n\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.\n\nJob is open for no less than 7 days and will be removed when the position is filled.\n\nOriginally posted on Himalayas",
      "published_at": "2026-10-05T14:08:20Z",
      "expires_at": "2026-12-04T14:08:19Z"
    },
    {
      "id": "netflix/analytics-engineer-5-cloud-games-infrastructure-data-products",
      "title": "Analytics Engineer 5 - Cloud Games Infrastructure Data Products",
      "link": "https://himalayas.app/companies/netflix/jobs/analytics-engineer-5-cloud-games-infrastructure-data-products",
      "company": {
        "name": "Netflix",
        "slug": "netflix",
        "link": "https://himalayas.app/companies/netflix",
        "logo_link": "https://cdn-images.himalayas.app/6gtq4bkamlky0cuwvxi3m3t60689",
        "is_verified": null
      },
      "employment_type": "full-time",
      "seniority": [
        "senior"
      ],
      "salary": {
        "min": 330000,
        "max": 566000,
        "currency": "USD",
        "period": "annual"
      },
      "location": {
        "countries": [
          "United States"
        ],
        "is_worldwide": false,
        "timezone_offsets": [
          -10,
          -9,
          -8,
          -7,
          -6,
          -5,
          14
        ],
        "has_timezone_restriction": true
      },
      "categories": [
        {
          "name": "Analytics Engineer",
          "slug": "analytics-engineer"
        },
        {
          "name": "Data Engineer",
          "slug": "data-engineer"
        },
        {
          "name": "Business Intelligence Analyst",
          "slug": "business-intelligence-analyst"
        },
        {
          "name": "Data Analyst",
          "slug": "data-analyst"
        },
        {
          "name": "Infrastructure Analyst",
          "slug": "infrastructure-analyst"
        },
        {
          "name": "Analytics Platform Engineer",
          "slug": "analytics-platform-engineer"
        },
        {
          "name": "Cloud Data Engineer",
          "slug": "cloud-data-engineer"
        }
      ],
      "parent_categories": [
        {
          "name": "Data Science",
          "slug": "data-science"
        }
      ],
      "skills": null,
      "requirements": null,
      "excerpt": "At Netflix, our mission is to entertain the world.",
      "description_html": "<p>At <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.</p><p>Our cloud games offering is an incredible opportunity to deliver new experiences that delight and entertain our growing membership. You will be joining us at an exciting time as we roll outmore games on our cloud serviceand be in a position to help us redefine what a <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> subscription means for our members around the world.</p><p>Thisanalytics engineeringrole owns the datasets produced by the systems that power the cloud games experience, spanning areas such as the quality of experience (QoE) members have when they play and the capacity and utilization of the infrastructure that delivers it. This role will build the metrics, tooling, and data products that make this data trustworthy, discoverable, and self-service, and operationalize them across the business to drive prioritization of the highest-impact opportunities. You willjoin the teamof Analytics Engineers, Data Scientists, and Data Engineers who partner closely with the infrastructure engineering teams to turn telemetry into self-service data products that guide how the business invests in its cloud gaming infrastructure.</p><h3>What you’ll do:</h3><ul>\n<li><p>Partner closely with our engineering teams to develop deep expertise in how the cloud gaming infrastructure works, across both quality of experience and capacity and utilization, and understand how data, analytics, experimentation, and algorithms can drive improvements to its performance and how we invest in it.</p></li>\n<li><p>Own the analytic data layer and the data products (pipelines, tables, dashboards, AI agents, tooling, and self-service assets) that turn our QoE framework and our capacity and utilization characterization into reliable insights for partners.</p></li>\n<li><p>Work across the entire data stack, including telemetry extension and logging, data modeling, metrics development, visualization, and insights generation, to drive alignment of resources against the most important problems in this space.</p></li>\n<li><p>Build toward self-service access rather than ad hoc delivery, and ensure what the team publishes is trustworthy, well-documented, and maintainable over time.</p></li>\n<li><p>Independently identify and drive the highest-leverage investments across the cloud games infrastructure data domain.</p></li>\n</ul><h3>You have:</h3><ul>\n<li><p>Passion for solving real-world problems through analytics, tooling, and visualization, and an eye for independently identifying new, impactful analytic opportunities.</p></li>\n<li><p>Expertise in SQL (Trino, Spark SQL), programming (e.g., Python), ETL, and data warehousing concepts at scale. Previous dbt experience as a bonus.</p></li>\n<li><p>An appetite for learning and adopting AI capabilities as a means to supercharge your workflow, paired with the judgment to know when their output is trustworthy and explainable enough to act on.</p></li>\n<li><p>Curiosity to pursue deep expertise in data science and engineering with a detailed understanding of distributed systems engineering and networking.</p></li>\n<li><p>Experience developing pipelines of moderate complexity on massive telemetry data sets, with the ability to effectively partner with data engineering teams, building more scalable solutions for the most important use cases.</p></li>\n<li><p>Strong judgment about where to invest, the discipline to keep sight of the bigger picture, and a bias toward durable, scalable capability over one-off outputs.</p></li>\n<li><p>Experience building strong partnerships and communicating technical and analytical concepts clearly and concisely among audiences at many different levels.</p></li>\n<li><p>Comfort with ambiguity and the ability to thrive with minimal oversight and process.</p></li>\n<li><p>Embodied the<a href=\"https://himalayas.app/companies/netflix\">Netflix</a> valueswhile bringing a new perspective to continue improving our culture.</p></li>\n</ul>Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $330,000.00 - $566,000.00. This compensation range will vary based on location.<p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.</p><p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> is a unique culture and environment. Learn more here.</p><p>Inclusionis a <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.</p><p>We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</p><p>Job is open for no less than 7 days and will be removed when the position is filled.</p><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>",
      "description_text": "At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.\n\nOur cloud games offering is an incredible opportunity to deliver new experiences that delight and entertain our growing membership. You will be joining us at an exciting time as we roll outmore games on our cloud serviceand be in a position to help us redefine what a Netflix subscription means for our members around the world.\n\nThisanalytics engineeringrole owns the datasets produced by the systems that power the cloud games experience, spanning areas such as the quality of experience (QoE) members have when they play and the capacity and utilization of the infrastructure that delivers it. This role will build the metrics, tooling, and data products that make this data trustworthy, discoverable, and self-service, and operationalize them across the business to drive prioritization of the highest-impact opportunities. You willjoin the teamof Analytics Engineers, Data Scientists, and Data Engineers who partner closely with the infrastructure engineering teams to turn telemetry into self-service data products that guide how the business invests in its cloud gaming infrastructure.\n\nWhat you’ll do:\n\n-\nPartner closely with our engineering teams to develop deep expertise in how the cloud gaming infrastructure works, across both quality of experience and capacity and utilization, and understand how data, analytics, experimentation, and algorithms can drive improvements to its performance and how we invest in it.\n\n-\nOwn the analytic data layer and the data products (pipelines, tables, dashboards, AI agents, tooling, and self-service assets) that turn our QoE framework and our capacity and utilization characterization into reliable insights for partners.\n\n-\nWork across the entire data stack, including telemetry extension and logging, data modeling, metrics development, visualization, and insights generation, to drive alignment of resources against the most important problems in this space.\n\n-\nBuild toward self-service access rather than ad hoc delivery, and ensure what the team publishes is trustworthy, well-documented, and maintainable over time.\n\n-\nIndependently identify and drive the highest-leverage investments across the cloud games infrastructure data domain.\n\nYou have:\n\n-\nPassion for solving real-world problems through analytics, tooling, and visualization, and an eye for independently identifying new, impactful analytic opportunities.\n\n-\nExpertise in SQL (Trino, Spark SQL), programming (e.g., Python), ETL, and data warehousing concepts at scale. Previous dbt experience as a bonus.\n\n-\nAn appetite for learning and adopting AI capabilities as a means to supercharge your workflow, paired with the judgment to know when their output is trustworthy and explainable enough to act on.\n\n-\nCuriosity to pursue deep expertise in data science and engineering with a detailed understanding of distributed systems engineering and networking.\n\n-\nExperience developing pipelines of moderate complexity on massive telemetry data sets, with the ability to effectively partner with data engineering teams, building more scalable solutions for the most important use cases.\n\n-\nStrong judgment about where to invest, the discipline to keep sight of the bigger picture, and a bias toward durable, scalable capability over one-off outputs.\n\n-\nExperience building strong partnerships and communicating technical and analytical concepts clearly and concisely among audiences at many different levels.\n\n-\nComfort with ambiguity and the ability to thrive with minimal oversight and process.\n\n-\nEmbodied theNetflix valueswhile bringing a new perspective to continue improving our culture.\n\nGenerally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $330,000.00 - $566,000.00. This compensation range will vary based on location.\nNetflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.\n\nNetflix is a unique culture and environment. Learn more here.\n\nInclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.\n\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.\n\nJob is open for no less than 7 days and will be removed when the position is filled.\n\nOriginally posted on Himalayas",
      "published_at": "2026-10-05T14:01:27Z",
      "expires_at": "2026-12-04T14:01:26Z"
    },
    {
      "id": "netflix/engineering-manager-launch-readiness",
      "title": "Engineering Manager - Launch Readiness",
      "link": "https://himalayas.app/companies/netflix/jobs/engineering-manager-launch-readiness",
      "company": {
        "name": "Netflix",
        "slug": "netflix",
        "link": "https://himalayas.app/companies/netflix",
        "logo_link": "https://cdn-images.himalayas.app/6gtq4bkamlky0cuwvxi3m3t60689",
        "is_verified": null
      },
      "employment_type": "full-time",
      "seniority": [
        "manager"
      ],
      "salary": {
        "min": 436000,
        "max": 710000,
        "currency": "USD",
        "period": "annual"
      },
      "location": {
        "countries": [
          "United States"
        ],
        "is_worldwide": false,
        "timezone_offsets": [
          -10,
          -9,
          -8,
          -7,
          -6,
          -5,
          14
        ],
        "has_timezone_restriction": true
      },
      "categories": [
        {
          "name": "Engineering Management",
          "slug": "engineering-management"
        },
        {
          "name": "Software Engineering Manager",
          "slug": "software-engineering-manager"
        },
        {
          "name": "Technical Management",
          "slug": "technical-management"
        },
        {
          "name": "Product Management",
          "slug": "product-management"
        },
        {
          "name": "AI Engineering",
          "slug": "ai-engineering"
        },
        {
          "name": "Engineering Manager",
          "slug": "engineering-manager"
        },
        {
          "name": "Launch Readiness",
          "slug": "launch-readiness"
        },
        {
          "name": "DevOps Engineering Manager",
          "slug": "devops-engineering-manager"
        }
      ],
      "parent_categories": [
        {
          "name": "Developer",
          "slug": "developer"
        }
      ],
      "skills": null,
      "requirements": null,
      "excerpt": "At Netflix, our mission is to entertain the world.",
      "description_html": "<p>At <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.</p><p>The Title and Launch Management (TLM) team is responsible for building and innovating the technology foundations that enable the ingest, setup, launch, and global distribution of all types of entertainment on <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>—including series, movies, games, ads, live events, trailers, and more. TLM acts as the bridge between the title creation lifecycle and the consumer experience, ensuring that launching titles on <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> is efficient, flexible, accurate, and scalable. Our team’s goal is to make launching titles as seamless as possible, supporting both operational and creative needs across the company.</p><p>The Launch Readiness team is responsible for monitoring delivery status, identifying and escalating risks, and recommending and implementing remediations using a combination of deterministic business rules and agentic solutions in partnership with data science and other engineering teams. Operating within a federated system, the team works alongside <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> launch operations and domain teams to develop tools and workflows that integrate with validation and conformance systems for metadata, media and assets such as artwork, synopses, and trailers. As <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> onboards more content types and a variety of content partners, this team will experiment and iterate to design, deploy, and integrate AI-powered solutions to address a wide range of launch needs.</p><h3>What you will do</h3><p>You will lead a team of software engineers to deliver high-impact results. Your responsibilities in this role:</p><ul>\n<li><p>Partner with product managers, launch operations, designers, engineers, and other leaders to drive your team’s product vision, strategy, and adoption across stakeholders.</p></li>\n<li><p>Foster a culture of accountability, ensuring timely and reliable delivery of the team’s roadmap to support business needs.</p></li>\n<li><p>Act as a trusted technical advisor, guiding thoughtful decision-making in ambiguous situations.</p></li>\n<li><p>Connect the dots across teams to prioritize work beyond your immediate domain.</p></li>\n<li><p>Communicate complex ideas clearly and influence decisions among diverse stakeholders.</p></li>\n<li><p>Balance business goals with strong engineering practices, investing in foundational work and continuous improvements.</p></li>\n<li><p>Hire, coach, and lead a team of Backend and UI Engineers, inspiring exceptional results in stability, performance, and product experience.</p></li>\n<li><p>Build an inclusive team culture where everyone feels empowered, accepted, and respected.</p></li>\n</ul><h3>What we are looking for</h3><ul>\n<li><p>3+ years building and managing high-performing, inclusive teams, attracting top talent, fostering accountability, and ensuring all voices inform decisions.</p></li>\n<li><p>Experience building generative AI solutions in ambiguous environments, with a proven ability to creatively experiment, develop innovative approaches, and collaborate effectively across cross-functional teams.</p></li>\n<li><p>Cultivate open communication, empowering team members to give feedback and recognize achievements and growth areas.</p></li>\n<li><p>Experience delivering and operating highly reliable, enterprise-grade products and services, including 24x7 on-call support.</p></li>\n<li><p>Strategic thinker with a strong product mindset, able to define and communicate product vision and align it with organizational goals.</p></li>\n<li><p>Skilled at prioritizing and aligning team efforts with business objectives; have the courage to pivot based on broader impact.</p></li>\n<li><p>Excellent collaborator and communicator, able to build strong cross-functional partnerships and influence the strategic direction of partners and stakeholders.</p></li>\n<li><p>Proven ability to deliver timely results on critical priorities and guide investment decisions in partnership with product and engineering leaders.</p></li>\n<li><p>Bring rigor to decision-making, using data, input, and pilot investments to reduce ambiguity and confirm direction.</p></li>\n<li><p>Experienced in driving the adoption of KPIs and leading indicators to monitor and improve system health.</p></li>\n<li><p>Strong communicator with teams, stakeholders, and leadership, including across global teams.</p></li>\n</ul><h3>Nice to have</h3><ul>\n<li><h3>Experience building distributed systems </h3></li>\n<li><p>Experience leading engineering teams with both Backend and UI/UX engineers</p></li>\n</ul>Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $436,000.00 - $710,000.00. This compensation range will vary based on location.<p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.</p><p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> is a unique culture and environment. Learn more here.</p><p>Inclusionis a <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.</p><p>We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</p><p>Job is open for no less than 7 days and will be removed when the position is filled.</p><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>",
      "description_text": "At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.\n\nThe Title and Launch Management (TLM) team is responsible for building and innovating the technology foundations that enable the ingest, setup, launch, and global distribution of all types of entertainment on Netflix—including series, movies, games, ads, live events, trailers, and more. TLM acts as the bridge between the title creation lifecycle and the consumer experience, ensuring that launching titles on Netflix is efficient, flexible, accurate, and scalable. Our team’s goal is to make launching titles as seamless as possible, supporting both operational and creative needs across the company.\n\nThe Launch Readiness team is responsible for monitoring delivery status, identifying and escalating risks, and recommending and implementing remediations using a combination of deterministic business rules and agentic solutions in partnership with data science and other engineering teams. Operating within a federated system, the team works alongside Netflix launch operations and domain teams to develop tools and workflows that integrate with validation and conformance systems for metadata, media and assets such as artwork, synopses, and trailers. As Netflix onboards more content types and a variety of content partners, this team will experiment and iterate to design, deploy, and integrate AI-powered solutions to address a wide range of launch needs.\n\nWhat you will do\n\nYou will lead a team of software engineers to deliver high-impact results. Your responsibilities in this role:\n\n-\nPartner with product managers, launch operations, designers, engineers, and other leaders to drive your team’s product vision, strategy, and adoption across stakeholders.\n\n-\nFoster a culture of accountability, ensuring timely and reliable delivery of the team’s roadmap to support business needs.\n\n-\nAct as a trusted technical advisor, guiding thoughtful decision-making in ambiguous situations.\n\n-\nConnect the dots across teams to prioritize work beyond your immediate domain.\n\n-\nCommunicate complex ideas clearly and influence decisions among diverse stakeholders.\n\n-\nBalance business goals with strong engineering practices, investing in foundational work and continuous improvements.\n\n-\nHire, coach, and lead a team of Backend and UI Engineers, inspiring exceptional results in stability, performance, and product experience.\n\n-\nBuild an inclusive team culture where everyone feels empowered, accepted, and respected.\n\nWhat we are looking for\n\n-\n3+ years building and managing high-performing, inclusive teams, attracting top talent, fostering accountability, and ensuring all voices inform decisions.\n\n-\nExperience building generative AI solutions in ambiguous environments, with a proven ability to creatively experiment, develop innovative approaches, and collaborate effectively across cross-functional teams.\n\n-\nCultivate open communication, empowering team members to give feedback and recognize achievements and growth areas.\n\n-\nExperience delivering and operating highly reliable, enterprise-grade products and services, including 24x7 on-call support.\n\n-\nStrategic thinker with a strong product mindset, able to define and communicate product vision and align it with organizational goals.\n\n-\nSkilled at prioritizing and aligning team efforts with business objectives; have the courage to pivot based on broader impact.\n\n-\nExcellent collaborator and communicator, able to build strong cross-functional partnerships and influence the strategic direction of partners and stakeholders.\n\n-\nProven ability to deliver timely results on critical priorities and guide investment decisions in partnership with product and engineering leaders.\n\n-\nBring rigor to decision-making, using data, input, and pilot investments to reduce ambiguity and confirm direction.\n\n-\nExperienced in driving the adoption of KPIs and leading indicators to monitor and improve system health.\n\n-\nStrong communicator with teams, stakeholders, and leadership, including across global teams.\n\nNice to have\n\n-\nExperience building distributed systems\n\n-\nExperience leading engineering teams with both Backend and UI/UX engineers\n\nGenerally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $436,000.00 - $710,000.00. This compensation range will vary based on location.\nNetflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.\n\nNetflix is a unique culture and environment. Learn more here.\n\nInclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.\n\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.\n\nJob is open for no less than 7 days and will be removed when the position is filled.\n\nOriginally posted on Himalayas",
      "published_at": "2026-10-03T18:24:27Z",
      "expires_at": "2026-12-02T18:24:26Z"
    },
    {
      "id": "netflix/support-solutions-engineer-l5-data-platform-big-data-analytics",
      "title": "Support Solutions Engineer (L5) Data Platform, Big Data / Analytics",
      "link": "https://himalayas.app/companies/netflix/jobs/support-solutions-engineer-l5-data-platform-big-data-analytics",
      "company": {
        "name": "Netflix",
        "slug": "netflix",
        "link": "https://himalayas.app/companies/netflix",
        "logo_link": "https://cdn-images.himalayas.app/6gtq4bkamlky0cuwvxi3m3t60689",
        "is_verified": null
      },
      "employment_type": "full-time",
      "seniority": [
        "senior"
      ],
      "salary": null,
      "location": {
        "countries": [
          "United States"
        ],
        "is_worldwide": false,
        "timezone_offsets": [
          -10,
          -9,
          -8,
          -7,
          -6,
          -5,
          14
        ],
        "has_timezone_restriction": true
      },
      "categories": [
        {
          "name": "Support Engineer",
          "slug": "support-engineer"
        },
        {
          "name": "Data Platform",
          "slug": "data-platform"
        },
        {
          "name": "Big Data",
          "slug": "big-data"
        },
        {
          "name": "DevOps",
          "slug": "devops"
        },
        {
          "name": "Data Engineer",
          "slug": "data-engineer"
        },
        {
          "name": "Solutions Support Engineer",
          "slug": "solutions-support-engineer"
        },
        {
          "name": "Data Solutions Engineer",
          "slug": "data-solutions-engineer"
        },
        {
          "name": "Solutions Engineer",
          "slug": "solutions-engineer"
        }
      ],
      "parent_categories": [
        {
          "name": "Developer",
          "slug": "developer"
        },
        {
          "name": "Data Science",
          "slug": "data-science"
        }
      ],
      "skills": null,
      "requirements": null,
      "excerpt": "At Netflix, our mission is to entertain the world.",
      "description_html": "<p>At <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.</p><h3><b>About the Engineering Support Organization</b></h3><p><b>The aim of the Engineering Support Organization is to enable Platform Engineering to effectively and sustainably scale the support they provide to their customers. The team  is the frontline resource for the engineering support needs of our customers (i.e., our workforce) - handling, troubleshooting, and resolving customer requests and issues. In addition, the team will focus on ways of working, customer advocacy, support tooling, platform product offerings, documentation, and developer education. </b></p><h3><b>Our Mission </b></h3><p><b>Deliver an excellent support experience to <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>’s developer community. To advocate for our customers, follow through on issues and resolve them in a reasonable time. If blockers prevent immediate resolution, we communicate status and ensure there is visibility into why there is a delay. </b></p><p><b>Provide insights, feedback and champion customer sentiment about the tools we support to our partners across Productivity and Data Platform Engineering. Partner with Product Management, Developer Education and Engineering to track and maintain visibility into ongoing issues and communicate customer needs to ensure improving in these areas is prioritized.</b></p><p><b>Drive collaboration efforts to reduce product friction and increase usability so that Platform Engineering can build, deploy and deliver highly functional solutions for the Developer Community.</b></p><h3><b>The Role </b></h3><p><b>We are looking for a Support Solutions Engineer with a passion for data platform infrastructure and tooling, customer service, and automation. You will be responsible for monitoring and handling our customers’ requests, troubleshooting, solving issues, automating support needs, developing support documentation and runbooks, improving and maintaining support tools and automation, understanding our product offerings, and continuously looking for ways to improve the engineering support experience.</b></p><p><b>Our ideal team member has first-hand experience working in customer-facing, engineering support roles, writing and building a comprehensive self-service knowledge base and has knowledge of infrastructure, internal tooling, platforms, and cloud computing. You are excellent at understanding and solving complex and ambiguous problems and constantly seek improvement. As an Engineer in this role, we need a candidate who can understand our complex offerings on a technical level, be hands-on in the development of our support automation tooling, and recommend product and operational improvements based on customer interactions.</b></p><h3><b>What you’ll need to be successful:</b></h3><ul>\n<li><p><b>A minimum of 5 years of professional support or engineering experience, particularly in Big data technologies including and not limited to Spark, Trino, Druid, Iceberg, Hadoop framework, Kafka and Flink.</b></p></li>\n<li><p><b>Prior experience supporting platforms built using open source technologies such as Apache Kafka, Spark, and Hadoop.</b></p></li>\n<li><p><b>You have worked with big data warehouse storage systems (e.g. Iceberg) </b></p></li>\n<li><p><b>You have at least 1 year of experience in providing technical support for Kafka clusters or other pub/sub systems like Google Cloud Pub/Sub, RabbitMQ, etc.</b></p></li>\n<li><p><b>Ability to read and write SQL queries to pull required complex data to support any reported issues/product defects </b></p></li>\n<li><p><b>Prior Experience with cloud infrastructure and/or container orchestration platform</b></p></li>\n<li><p><b>You have the desire and aptitude to learn how the pieces of the big data platform work together .</b></p></li>\n</ul><ul><li><p><b>Ability to adapt to new tools and technologies quickly, and a willingness to continuously learn and grow in the field of big data and data movement.</b></p></li></ul><ul>\n<li><p><b>You are a data-driven and evidence-based decision-maker</b></p></li>\n<li><p><b>You are proficient in at least one programming language, ideally Python and/or Java, enabling you to contribute to codebases across related domains</b></p></li>\n<li><p><b>Experience in developing tools and scripts to automate processes and improve efficiency, with a strong focus on continuous improvement.</b></p></li>\n<li><p><b>Demonstrated ability to provide superior customer support across a complex organization, with a focus on enhancing the customer experience.</b></p></li>\n<li><p><b>Excellent written and verbal communication skills, with an appreciation for the importance of comprehensive documentation.</b></p></li>\n<li><p><b>Strong collaboration skills and experience working with cross-functional teams.</b></p></li>\n<li><p><b>Passion for creating technical documentation and tutorials, with a deep understanding of what makes an effective knowledge base.</b></p></li>\n<li><p><b>Strong problem-solving skills and the ability to troubleshoot complex issues in a dynamic environment</b></p></li>\n<li><p><b>Knack for providing proactive feedback during early development stages of a product offering based on subject matter expertise and user sentiment.</b></p></li>\n</ul><h3><b>Other attributes that will excite us:</b></h3><ul>\n<li><p><b>Experience building GenAI solutions for Support is a big plus</b></p></li>\n<li><p><b>Experience building and maintaining mature support infrastructure</b></p></li>\n</ul><p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.</p><p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> is a unique culture and environment. Learn more here.</p><p>Inclusionis a <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.</p><p>We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</p><p>Job is open for no less than 7 days and will be removed when the position is filled.</p><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>",
      "description_text": "At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.\n\nAbout the Engineering Support Organization\n\nThe aim of the Engineering Support Organization is to enable Platform Engineering to effectively and sustainably scale the support they provide to their customers. The team is the frontline resource for the engineering support needs of our customers (i.e., our workforce) - handling, troubleshooting, and resolving customer requests and issues. In addition, the team will focus on ways of working, customer advocacy, support tooling, platform product offerings, documentation, and developer education.\n\nOur Mission\n\nDeliver an excellent support experience to Netflix’s developer community. To advocate for our customers, follow through on issues and resolve them in a reasonable time. If blockers prevent immediate resolution, we communicate status and ensure there is visibility into why there is a delay.\n\nProvide insights, feedback and champion customer sentiment about the tools we support to our partners across Productivity and Data Platform Engineering. Partner with Product Management, Developer Education and Engineering to track and maintain visibility into ongoing issues and communicate customer needs to ensure improving in these areas is prioritized.\n\nDrive collaboration efforts to reduce product friction and increase usability so that Platform Engineering can build, deploy and deliver highly functional solutions for the Developer Community.\n\nThe Role\n\nWe are looking for a Support Solutions Engineer with a passion for data platform infrastructure and tooling, customer service, and automation. You will be responsible for monitoring and handling our customers’ requests, troubleshooting, solving issues, automating support needs, developing support documentation and runbooks, improving and maintaining support tools and automation, understanding our product offerings, and continuously looking for ways to improve the engineering support experience.\n\nOur ideal team member has first-hand experience working in customer-facing, engineering support roles, writing and building a comprehensive self-service knowledge base and has knowledge of infrastructure, internal tooling, platforms, and cloud computing. You are excellent at understanding and solving complex and ambiguous problems and constantly seek improvement. As an Engineer in this role, we need a candidate who can understand our complex offerings on a technical level, be hands-on in the development of our support automation tooling, and recommend product and operational improvements based on customer interactions.\n\nWhat you’ll need to be successful:\n\n-\nA minimum of 5 years of professional support or engineering experience, particularly in Big data technologies including and not limited to Spark, Trino, Druid, Iceberg, Hadoop framework, Kafka and Flink.\n\n-\nPrior experience supporting platforms built using open source technologies such as Apache Kafka, Spark, and Hadoop.\n\n-\nYou have worked with big data warehouse storage systems (e.g. Iceberg)\n\n-\nYou have at least 1 year of experience in providing technical support for Kafka clusters or other pub/sub systems like Google Cloud Pub/Sub, RabbitMQ, etc.\n\n-\nAbility to read and write SQL queries to pull required complex data to support any reported issues/product defects\n\n-\nPrior Experience with cloud infrastructure and/or container orchestration platform\n\n-\nYou have the desire and aptitude to learn how the pieces of the big data platform work together .\n\n-\nAbility to adapt to new tools and technologies quickly, and a willingness to continuously learn and grow in the field of big data and data movement.\n\n-\nYou are a data-driven and evidence-based decision-maker\n\n-\nYou are proficient in at least one programming language, ideally Python and/or Java, enabling you to contribute to codebases across related domains\n\n-\nExperience in developing tools and scripts to automate processes and improve efficiency, with a strong focus on continuous improvement.\n\n-\nDemonstrated ability to provide superior customer support across a complex organization, with a focus on enhancing the customer experience.\n\n-\nExcellent written and verbal communication skills, with an appreciation for the importance of comprehensive documentation.\n\n-\nStrong collaboration skills and experience working with cross-functional teams.\n\n-\nPassion for creating technical documentation and tutorials, with a deep understanding of what makes an effective knowledge base.\n\n-\nStrong problem-solving skills and the ability to troubleshoot complex issues in a dynamic environment\n\n-\nKnack for providing proactive feedback during early development stages of a product offering based on subject matter expertise and user sentiment.\n\nOther attributes that will excite us:\n\n-\nExperience building GenAI solutions for Support is a big plus\n\n-\nExperience building and maintaining mature support infrastructure\n\nNetflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.\n\nNetflix is a unique culture and environment. Learn more here.\n\nInclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.\n\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.\n\nJob is open for no less than 7 days and will be removed when the position is filled.\n\nOriginally posted on Himalayas",
      "published_at": "2026-10-03T15:46:53Z",
      "expires_at": "2026-12-02T15:46:52Z"
    },
    {
      "id": "netflix/security-analytics-engineer-l5",
      "title": "Security Analytics Engineer L5",
      "link": "https://himalayas.app/companies/netflix/jobs/security-analytics-engineer-l5",
      "company": {
        "name": "Netflix",
        "slug": "netflix",
        "link": "https://himalayas.app/companies/netflix",
        "logo_link": "https://cdn-images.himalayas.app/6gtq4bkamlky0cuwvxi3m3t60689",
        "is_verified": null
      },
      "employment_type": "full-time",
      "seniority": [
        "senior"
      ],
      "salary": null,
      "location": {
        "countries": [
          "Poland"
        ],
        "is_worldwide": false,
        "timezone_offsets": [
          1
        ],
        "has_timezone_restriction": true
      },
      "categories": [
        {
          "name": "Security Analytics Engineer",
          "slug": "security-analytics-engineer"
        },
        {
          "name": "Security Engineering",
          "slug": "security-engineering"
        },
        {
          "name": "Vulnerability Management",
          "slug": "vulnerability-management"
        },
        {
          "name": "Security Operations",
          "slug": "security-operations"
        },
        {
          "name": "Senior Security Operations Engineer",
          "slug": "senior-security-operations-engineer"
        },
        {
          "name": "Analytics Engineer",
          "slug": "analytics-engineer"
        }
      ],
      "parent_categories": [
        {
          "name": "Data Science",
          "slug": "data-science"
        }
      ],
      "skills": null,
      "requirements": null,
      "excerpt": "Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages.",
      "description_html": "<p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.</p><p><b><b>About Security Platforms Engineering (SPE)</b></b><br>The Security Platforms Engineering (SPE) team builds and operates foundational and scaled security services for <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>, including asset inventory, vulnerability management, risk insights and a unified security experience. Our goal is to ensure strong foundations and resiliency to security threats, and we help <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> be a place where security controls scale automatically, critical risks are systematically reduced, and our workforce is empowered to make confident, risk-informed decisions.</p><p>We are expanding our team in Poland to help build and support our Vulnerability Management (VM) program, which owns vulnerability visibility, triage, and remediation for assets across <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>’s ecosystem.</p><h3>About the Role</h3><p>As a Security Analytics Engineer, you will analyze the vast data around our security posture and build insights leveraging data-driven solutions to advance our vulnerability management and strategic security insights programs. You will play a key role in designing robust and clear metrics and analytics, developing high-impact dashboards, and surfacing actionable intelligence that strengthens our security posture.</p><p><b>The role is remote for candidates located in Poland.</b></p><h3><b>Key Responsibilities:</b></h3><ul>\n<li><p>Own the end-to-end process: define, build, and maintain security metric dashboards, and conduct in-depth analyses to surface trends and insights in vulnerability data and security metrics.</p></li>\n<li><p>Collaborate closely with security engineers to understand our program's posture and identify areas for improving identification, prioritization, and remediation workflows.</p></li>\n<li><p>Partner with stakeholders to translate security needs into actionable recommendations.</p></li>\n<li><p>Share your expertise and innovations with the broader security community, strengthening our collective capabilities and enabling best practices.</p></li>\n</ul><h3><b>About You:</b></h3><ul>\n<li><p>Proven track record of defining, designing, and developing scalable analytic tools and systems, ideally in vulnerability management or security analytics.</p></li>\n<li><p>High proficiency in Python, SQL, Spark, and experience with data visualization tools (e.g., Preset, Tableau).</p></li>\n<li><p>Fluency with various aspects of security programs, including key metrics and questions</p></li>\n<li><p>Strong foundation in statistical inference, data analysis, and data engineering best practices.</p></li>\n<li><p>Experienced in orchestrating cross-functional stakeholders without direct authority and leveraging analytics to inform and steer security decisions.</p></li>\n<li><p>Exceptional communication and collaboration skills.</p></li>\n<li><p>Comfortable with ambiguity; able to take ownership and thrive with minimal oversight and process.</p></li>\n<li><h3>\n<a href=\"https://himalayas.app/companies/netflix\">Netflix</a> culture resonates with you.</h3></li>\n</ul><p>Inclusion is a <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.</p><p>We are an equal-opportunity employer and celebrate diversity, recognizing that diversitybuilds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</p><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>",
      "description_text": "Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.\n\nAbout Security Platforms Engineering (SPE)\nThe Security Platforms Engineering (SPE) team builds and operates foundational and scaled security services for Netflix, including asset inventory, vulnerability management, risk insights and a unified security experience. Our goal is to ensure strong foundations and resiliency to security threats, and we help Netflix be a place where security controls scale automatically, critical risks are systematically reduced, and our workforce is empowered to make confident, risk-informed decisions.\n\nWe are expanding our team in Poland to help build and support our Vulnerability Management (VM) program, which owns vulnerability visibility, triage, and remediation for assets across Netflix’s ecosystem.\n\nAbout the Role\n\nAs a Security Analytics Engineer, you will analyze the vast data around our security posture and build insights leveraging data-driven solutions to advance our vulnerability management and strategic security insights programs. You will play a key role in designing robust and clear metrics and analytics, developing high-impact dashboards, and surfacing actionable intelligence that strengthens our security posture.\n\nThe role is remote for candidates located in Poland.\n\nKey Responsibilities:\n\n-\nOwn the end-to-end process: define, build, and maintain security metric dashboards, and conduct in-depth analyses to surface trends and insights in vulnerability data and security metrics.\n\n-\nCollaborate closely with security engineers to understand our program's posture and identify areas for improving identification, prioritization, and remediation workflows.\n\n-\nPartner with stakeholders to translate security needs into actionable recommendations.\n\n-\nShare your expertise and innovations with the broader security community, strengthening our collective capabilities and enabling best practices.\n\nAbout You:\n\n-\nProven track record of defining, designing, and developing scalable analytic tools and systems, ideally in vulnerability management or security analytics.\n\n-\nHigh proficiency in Python, SQL, Spark, and experience with data visualization tools (e.g., Preset, Tableau).\n\n-\nFluency with various aspects of security programs, including key metrics and questions\n\n-\nStrong foundation in statistical inference, data analysis, and data engineering best practices.\n\n-\nExperienced in orchestrating cross-functional stakeholders without direct authority and leveraging analytics to inform and steer security decisions.\n\n-\nExceptional communication and collaboration skills.\n\n-\nComfortable with ambiguity; able to take ownership and thrive with minimal oversight and process.\n\n-\n\nNetflix culture resonates with you.\n\nInclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.\n\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversitybuilds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.\n\nOriginally posted on Himalayas",
      "published_at": "2026-10-03T14:12:03Z",
      "expires_at": "2026-12-02T14:12:02Z"
    },
    {
      "id": "netflix/manager-data-science-core-tv-interactive-discovery",
      "title": "Manager, Data Science - Core TV & Interactive Discovery",
      "link": "https://himalayas.app/companies/netflix/jobs/manager-data-science-core-tv-interactive-discovery",
      "company": {
        "name": "Netflix",
        "slug": "netflix",
        "link": "https://himalayas.app/companies/netflix",
        "logo_link": "https://cdn-images.himalayas.app/6gtq4bkamlky0cuwvxi3m3t60689",
        "is_verified": null
      },
      "employment_type": "full-time",
      "seniority": [
        "manager"
      ],
      "salary": {
        "min": 480000,
        "max": 750000,
        "currency": "USD",
        "period": "annual"
      },
      "location": {
        "countries": [
          "United States"
        ],
        "is_worldwide": false,
        "timezone_offsets": [
          -10,
          -9,
          -8,
          -7,
          -6,
          -5,
          14
        ],
        "has_timezone_restriction": true
      },
      "categories": [
        {
          "name": "Data Science",
          "slug": "data-science"
        },
        {
          "name": "Product Analytics",
          "slug": "product-analytics"
        },
        {
          "name": "Data Science Management",
          "slug": "data-science-management"
        },
        {
          "name": "Applied Sciences",
          "slug": "applied-sciences"
        },
        {
          "name": "Data Science Manager",
          "slug": "data-science-manager"
        },
        {
          "name": "Product Data Science Manager",
          "slug": "product-data-science-manager"
        }
      ],
      "parent_categories": [],
      "skills": null,
      "requirements": null,
      "excerpt": "At Netflix, our mission is to entertain the world.",
      "description_html": "<p>At <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.</p><p>The Member Experience Data Science and Engineering team is at the forefront of driving innovations in <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>’s core product experience within our streaming and new business domains through data. The team collaborates extensively with Product and Engineering teams to identify, incubate and enable product innovations leveraging robust measurement techniques (analytics, experimentation, modeling) and scalable tooling. </p><p>We are looking for an exceptional leader to manage a team of data scientists and analytics engineers to guide our approach to innovation on TV and interactive discovery (e.g., Search). This role works highly cross-functionally amidst a complex stakeholder landscape across Product Management, Consumer Insights, Engineering, and Design. A strong candidate for this role is able to inform decision making using data and exceptional judgment, possesses excellent communication and collaboration skills, and is a strong, seasoned people leader who can effectively guide a talented team. </p><h3>In this role, you will:</h3><ul>\n<li><p>Lead a team of technical roles across data science and analytics engineering to shape the measurement and product strategy for the Core TV and Interactive Discovery spaces, balancing the needs of multiple stakeholders to drive durable business impact</p></li>\n<li><p>Own end-to-end outcomes for measurement and insights in your domain, ensuring the team delivers timely, decision-ready work that meaningfully shapes product direction and development</p></li>\n<li><p>Partner closely with Product, Engineering, Design, and Consumer Insights to frame the right problems, surface tradeoffs, and build a shared, causal understanding of member behavior</p></li>\n<li><p>Set a clear vision and direction for the team, establishing priorities and operating norms that enable strong thought partnership, high-quality execution, and sustained impact</p></li>\n<li><p>Act as a role model for <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> values in day-to-day work and interactions, demonstrating strong judgment, candor, and accountability</p></li>\n</ul><p><b> To be highly successful in this role, you will have:</b></p><ul>\n<li><p>Demonstrated experience leading data science, analytics, or related technical teams in product-focused domains, with accountability for both setting direction and delivering outcomes</p></li>\n<li><p>Strong analytical judgment and structured thinking, with the ability to move from messy data and ambiguous problems to clear insights, recommendations, and decisions</p></li>\n<li><p>Exceptional communication and collaboration skills, including the ability to influence product and engineering partners through clear framing, tradeoff articulation, and compelling data storytelling</p></li>\n<li><p>A track record of operating effectively in ambiguous, fast-moving environments, exercising strong ownership and judgment with minimal process or oversight</p></li>\n<li><p>A track record of building high-performing teams by developing senior ICs into trusted thought partners, increasing both their individual impact and the team’s overall leverage</p></li>\n<li><p>A Master’s or PhD in a quantitative field, with deep expertise in applied data science and experimentation within consumer-facing products</p></li>\n</ul>Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $480,000.00 - $750,000.00. This compensation range will vary based on location.<p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.</p><p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> is a unique culture and environment. Learn more here.</p><p>Inclusionis a <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.</p><p>We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</p><p>Job is open for no less than 7 days and will be removed when the position is filled.</p><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>",
      "description_text": "At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.\n\nThe Member Experience Data Science and Engineering team is at the forefront of driving innovations in Netflix’s core product experience within our streaming and new business domains through data. The team collaborates extensively with Product and Engineering teams to identify, incubate and enable product innovations leveraging robust measurement techniques (analytics, experimentation, modeling) and scalable tooling.\n\nWe are looking for an exceptional leader to manage a team of data scientists and analytics engineers to guide our approach to innovation on TV and interactive discovery (e.g., Search). This role works highly cross-functionally amidst a complex stakeholder landscape across Product Management, Consumer Insights, Engineering, and Design. A strong candidate for this role is able to inform decision making using data and exceptional judgment, possesses excellent communication and collaboration skills, and is a strong, seasoned people leader who can effectively guide a talented team.\n\nIn this role, you will:\n\n-\nLead a team of technical roles across data science and analytics engineering to shape the measurement and product strategy for the Core TV and Interactive Discovery spaces, balancing the needs of multiple stakeholders to drive durable business impact\n\n-\nOwn end-to-end outcomes for measurement and insights in your domain, ensuring the team delivers timely, decision-ready work that meaningfully shapes product direction and development\n\n-\nPartner closely with Product, Engineering, Design, and Consumer Insights to frame the right problems, surface tradeoffs, and build a shared, causal understanding of member behavior\n\n-\nSet a clear vision and direction for the team, establishing priorities and operating norms that enable strong thought partnership, high-quality execution, and sustained impact\n\n-\nAct as a role model for Netflix values in day-to-day work and interactions, demonstrating strong judgment, candor, and accountability\n\nTo be highly successful in this role, you will have:\n\n-\nDemonstrated experience leading data science, analytics, or related technical teams in product-focused domains, with accountability for both setting direction and delivering outcomes\n\n-\nStrong analytical judgment and structured thinking, with the ability to move from messy data and ambiguous problems to clear insights, recommendations, and decisions\n\n-\nExceptional communication and collaboration skills, including the ability to influence product and engineering partners through clear framing, tradeoff articulation, and compelling data storytelling\n\n-\nA track record of operating effectively in ambiguous, fast-moving environments, exercising strong ownership and judgment with minimal process or oversight\n\n-\nA track record of building high-performing teams by developing senior ICs into trusted thought partners, increasing both their individual impact and the team’s overall leverage\n\n-\nA Master’s or PhD in a quantitative field, with deep expertise in applied data science and experimentation within consumer-facing products\n\nGenerally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $480,000.00 - $750,000.00. This compensation range will vary based on location.\nNetflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.\n\nNetflix is a unique culture and environment. Learn more here.\n\nInclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.\n\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.\n\nJob is open for no less than 7 days and will be removed when the position is filled.\n\nOriginally posted on Himalayas",
      "published_at": "2026-10-03T14:04:27Z",
      "expires_at": "2026-12-02T14:04:27Z"
    },
    {
      "id": "netflix/engineering-manager-cloud-architecture-tooling-security",
      "title": "Engineering Manager (Cloud Architecture Tooling & Security)",
      "link": "https://himalayas.app/companies/netflix/jobs/engineering-manager-cloud-architecture-tooling-security",
      "company": {
        "name": "Netflix",
        "slug": "netflix",
        "link": "https://himalayas.app/companies/netflix",
        "logo_link": "https://cdn-images.himalayas.app/6gtq4bkamlky0cuwvxi3m3t60689",
        "is_verified": null
      },
      "employment_type": "full-time",
      "seniority": [
        "manager"
      ],
      "salary": {
        "min": 510000,
        "max": 752000,
        "currency": "USD",
        "period": "annual"
      },
      "location": {
        "countries": [
          "United States"
        ],
        "is_worldwide": false,
        "timezone_offsets": [
          -10,
          -9,
          -8,
          -7,
          -6,
          -5,
          14
        ],
        "has_timezone_restriction": true
      },
      "categories": [
        {
          "name": "Engineering Management",
          "slug": "engineering-management"
        },
        {
          "name": "Cloud Security",
          "slug": "cloud-security"
        },
        {
          "name": "Security Engineering",
          "slug": "security-engineering"
        },
        {
          "name": "DevSecOps",
          "slug": "devsecops"
        },
        {
          "name": "IT Management",
          "slug": "it-management"
        },
        {
          "name": "Cloud Security Engineering Manager",
          "slug": "cloud-security-engineering-manager"
        },
        {
          "name": "Cloud Infrastructure Engineering Manager",
          "slug": "cloud-infrastructure-engineering-manager"
        },
        {
          "name": "Cloud Engineering Manager",
          "slug": "cloud-engineering-manager"
        },
        {
          "name": "Cloud Platform Engineering Manager",
          "slug": "cloud-platform-engineering-manager"
        },
        {
          "name": "Security Engineering Manager",
          "slug": "security-engineering-manager"
        },
        {
          "name": "Engineering Manager",
          "slug": "engineering-manager"
        }
      ],
      "parent_categories": [
        {
          "name": "Developer",
          "slug": "developer"
        }
      ],
      "skills": null,
      "requirements": null,
      "excerpt": "At Netflix, our mission is to entertain the world.",
      "description_html": "<p>At <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.</p><p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> operates our streaming service control plane on Amazon Web Services, which has led to one of the largest and most sophisticated AWS environments in the world. Cloud Security for our public cloud deployments is critical to <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>’s security posture to protect our members, partners, employees, and intellectual property. This entails various capabilities distributed across a number of Infrastructure Security teams - cloud security paved roads, posture management, architecture, consulting and operational services. Of this charter, the Cloud Architecture, Tooling and Security (CATS) team designs and implements strategic high-level cloud security boundaries to balance risk while enabling business needs. We provide cloud security subject matter expertise, build scalable security solutions for account management, cloud identity and access management and provide operational security services to achieve this mission. </p><p>We are looking for a strong engineering leader for this team to enable our mission. You will be responsible for leading and cultivating a world class team of security experts and software engineers. You will help the team navigate <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> business evolution by establishing strong organizational relationships and connecting business context to security needs. </p><h3><b>Desired background: </b></h3><ul>\n<li><p>You have a strong technical understanding of Cloud Security concepts with specific experience in CloudSec operations, AWS account management and Security Architecture.</p></li>\n<li><p>You have experience hiring, coaching and cultivating a talented team across seniority levels.</p></li>\n<li><p>You are an empathetic leader who cultivates a culture of psychological safety and inclusion where all team members can do their best work.</p></li>\n<li><p>You have experience working cross functionally across security and infrastructure teams</p></li>\n<li><p>You have experience translating business context to security program needs and effectively communicating security goals to different audiences  </p></li>\n<li><p>You have experience actively contributing to and shaping a team's long-term technical vision.</p></li>\n<li><p>You have a strong track record of bringing structure and clarity to team operations.</p></li>\n<li><p>You have experience navigating change and leading effectively in rapidly evolving environments.</p></li>\n</ul>Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $510,000.00 - $752,000.00. This compensation range will vary based on location.<p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.</p><p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> is a unique culture and environment. Learn more here.</p><p>Inclusionis a <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.</p><p>We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</p><p>Job is open for no less than 7 days and will be removed when the position is filled.</p><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>",
      "description_text": "At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.\n\nNetflix operates our streaming service control plane on Amazon Web Services, which has led to one of the largest and most sophisticated AWS environments in the world. Cloud Security for our public cloud deployments is critical to Netflix’s security posture to protect our members, partners, employees, and intellectual property. This entails various capabilities distributed across a number of Infrastructure Security teams - cloud security paved roads, posture management, architecture, consulting and operational services. Of this charter, the Cloud Architecture, Tooling and Security (CATS) team designs and implements strategic high-level cloud security boundaries to balance risk while enabling business needs. We provide cloud security subject matter expertise, build scalable security solutions for account management, cloud identity and access management and provide operational security services to achieve this mission.\n\nWe are looking for a strong engineering leader for this team to enable our mission. You will be responsible for leading and cultivating a world class team of security experts and software engineers. You will help the team navigate Netflix business evolution by establishing strong organizational relationships and connecting business context to security needs.\n\nDesired background:\n\n-\nYou have a strong technical understanding of Cloud Security concepts with specific experience in CloudSec operations, AWS account management and Security Architecture.\n\n-\nYou have experience hiring, coaching and cultivating a talented team across seniority levels.\n\n-\nYou are an empathetic leader who cultivates a culture of psychological safety and inclusion where all team members can do their best work.\n\n-\nYou have experience working cross functionally across security and infrastructure teams\n\n-\nYou have experience translating business context to security program needs and effectively communicating security goals to different audiences\n\n-\nYou have experience actively contributing to and shaping a team's long-term technical vision.\n\n-\nYou have a strong track record of bringing structure and clarity to team operations.\n\n-\nYou have experience navigating change and leading effectively in rapidly evolving environments.\n\nGenerally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $510,000.00 - $752,000.00. This compensation range will vary based on location.\nNetflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.\n\nNetflix is a unique culture and environment. Learn more here.\n\nInclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.\n\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.\n\nJob is open for no less than 7 days and will be removed when the position is filled.\n\nOriginally posted on Himalayas",
      "published_at": "2026-10-03T13:52:33Z",
      "expires_at": "2026-12-02T13:52:32Z"
    }
  ],
  "updated_at": "2026-10-12T05:54:12Z",
  "company": {
    "slug": "netflix",
    "link": "https://himalayas.app/companies/netflix"
  }
}