{
  "id": 1010239309280,
  "title": "Software Engineering Manager, Business AI Agent",
  "link": "https://www.glassdoor.com/job-listing/software-engineering-manager-business-ai-agent-google-JV_IC1147431_KO0,46_KE47,53.htm?jl=1010239309280",
  "apply_link": "https://www.glassdoor.com/partner/jobListing.htm?pos=101&ao=1110586&s=58&t=NS&jobListingId=1010239309280",
  "description_html": "<div>In most instances, this position requires in-person interviews as part of the hiring process.<br>\n<h3 class=\"jobSectionHeader\"><b>\nMinimum qualifications:</b></h3><ul>\n<li>Bachelor&rsquo;s degree in Computer Science, a related technical field, or equivalent practical experience.</li>\n<li>8 years of experience coding in one or more general-purpose programming languages (e.g., Python, Java, C++, or Go) focused on backend system architecture.</li>\n<li>Experience building automated LLM evaluation pipelines, automated rating systems (AutoRaters), or defining LLM-specific reliability metrics (e.g., measuring grounding, helpfulness, safety, and hallucination/error reduction).</li>\n<li>Experience with backend, distributed systems, or AI/ML systems infrastructure.</li>\n<li>Experience managing software engineers, including performance management, mentoring, and team growth.</li></ul><br>\n<h3 class=\"jobSectionHeader\"><b>\nPreferred qualifications:</b></h3><ul>\n<li>Master's degree or PhD in Computer Science or related technical field.<br>\n</li>\n<li>3 years of experience working in a complex, matrixed organization.<br>\n</li>\n<li>Experience developing, calibrating, and productionizing LLM-based AutoRater frameworks or automated regression testing.</li>\n<li>Experience designing agentic tooling and integrating agents with commerce platforms.</li>\n<li>Expertise in conversational AI architectures, agent orchestration harnesses, and Retrieval-Augmented Generation (RAG) for knowledge libraries.</li>\n<li>Track record of technical leadership partnering with Product Management, Data Science, and UX to build &quot;Ground Truth&quot; datasets and performance-tracking dashboards.</li>\n</ul><div><h2 class=\"jobSectionHeader\"><b>About the job</b></h2><p>\nLike Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way.<br>\n<br>\nWith technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.</p><br>\n<p>\nThe Business Agent team powers Google&rsquo;s Agentic Commerce strategy by building the AI platform behind seamless merchant-consumer interactions across Search, YouTube, Ads, and Messaging. We turn conversational AI into measurable commerce outcomes for millions of businesses worldwide.</p><p>\nWe solve complex, high-scale AI issues to build fast, reliable, and intelligent agent experiences. Optimize multi-turn AI reasoning loops and tool-calling pipelines for real-time responsiveness. Develop robust data pipelines for the Merchant Knowledge Library to power accurate Retrieval-Augmented Generation (RAG). Build automated evaluation frameworks and AutoRaters to continuously measure conversation quality and factuality at scale.</p><p>\nPeople shop on Google more than a billion times a day - and the Commerce team is responsible for building the experiences that serve these users. The mission for Google Commerce is to be an essential part of the shopping journey for consumers - from inspiration to to a simple and secure checkout experience - and the best place for retailers/merchants to connect with consumers. We support and partner with the commerce ecosystem, from large retailers to small local merchants, to give them the tools, technology and scale to thrive in today&rsquo;s digital world.</p>\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.\n<br>\n<br>\nUS: $207000 - $300000 (USD) + 20% bonus target + equity + benefits<br>\n<br>\nLearn more about benefits at Google.</div><div><h2 class=\"jobSectionHeader\"><b>\nResponsibilities</b></h2><ul>\n<li>Manage and mentor a Software Engineering team, owning the roadmap and architecture for applied AI, low-latency scoring, and automated evaluation.<br>\n</li>\n<li>Lead Knowledge Library and merchant control engineering, building advanced RAG integrations (PDF ingestion, auto-learning) for custom agent behavior.</li>\n<li>Oversee autonomous execution tooling and Universal Commerce Protocol (UCP) integration to enable active user journeys (catalog lookups, universal carts, reservations).</li>\n<li>Advocate prompt tuning and loss diagnosis while scaling LLM-based AutoRater frameworks to reduce hallucinations and measure conversation factuality.</li>\n<li>Partner with Product, Data Science, UX, and core Google platform teams to define Ground Truth datasets, analytical dashboards, and model upgrade standards.</li>\n</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>",
  "description": "In most instances, this position requires in-person interviews as part of the hiring process.\n\nMinimum qualifications:\n\nBachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.\n\n8 years of experience coding in one or more general-purpose programming languages (e.g., Python, Java, C++, or Go) focused on backend system architecture.\n\nExperience building automated LLM evaluation pipelines, automated rating systems (AutoRaters), or defining LLM-specific reliability metrics (e.g., measuring grounding, helpfulness, safety, and hallucination/error reduction).\n\nExperience with backend, distributed systems, or AI/ML systems infrastructure.\n\nExperience managing software engineers, including performance management, mentoring, and team growth.\n\nPreferred qualifications:\n\nMaster's degree or PhD in Computer Science or related technical field.\n\n3 years of experience working in a complex, matrixed organization.\n\nExperience developing, calibrating, and productionizing LLM-based AutoRater frameworks or automated regression testing.\n\nExperience designing agentic tooling and integrating agents with commerce platforms.\n\nExpertise in conversational AI architectures, agent orchestration harnesses, and Retrieval-Augmented Generation (RAG) for knowledge libraries.\n\nTrack record of technical leadership partnering with Product Management, Data Science, and UX to build \"Ground Truth\" datasets and performance-tracking dashboards.\n\nAbout the job\n\nLike Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way.\n\nWith technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.\n\nThe Business Agent team powers Google’s Agentic Commerce strategy by building the AI platform behind seamless merchant-consumer interactions across Search, YouTube, Ads, and Messaging. We turn conversational AI into measurable commerce outcomes for millions of businesses worldwide.\n\nWe solve complex, high-scale AI issues to build fast, reliable, and intelligent agent experiences. Optimize multi-turn AI reasoning loops and tool-calling pipelines for real-time responsiveness. Develop robust data pipelines for the Merchant Knowledge Library to power accurate Retrieval-Augmented Generation (RAG). Build automated evaluation frameworks and AutoRaters to continuously measure conversation quality and factuality at scale.\n\nPeople shop on Google more than a billion times a day - and the Commerce team is responsible for building the experiences that serve these users. The mission for Google Commerce is to be an essential part of the shopping journey for consumers - from inspiration to to a simple and secure checkout experience - and the best place for retailers/merchants to connect with consumers. We support and partner with the commerce ecosystem, from large retailers to small local merchants, to give them the tools, technology and scale to thrive in today’s digital world.\n\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.\n\nUS: $207000 - $300000 (USD) + 20% bonus target + equity + benefits\n\nLearn more about benefits at Google.\n\nResponsibilities\n\nManage and mentor a Software Engineering team, owning the roadmap and architecture for applied AI, low-latency scoring, and automated evaluation.\n\nLead Knowledge Library and merchant control engineering, building advanced RAG integrations (PDF ingestion, auto-learning) for custom agent behavior.\n\nOversee autonomous execution tooling and Universal Commerce Protocol (UCP) integration to enable active user journeys (catalog lookups, universal carts, reservations).\n\nAdvocate prompt tuning and loss diagnosis while scaling LLM-based AutoRater frameworks to reduce hallucinations and measure conversation factuality.\n\nPartner with Product, Data Science, UX, and core Google platform teams to define Ground Truth datasets, analytical dashboards, and model upgrade standards.\n\nGoogle is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.",
  "company": {
    "id": 9079,
    "name": "Google",
    "link": "https://www.glassdoor.com/Overview/Working-at-Google-EI_IE9079.11,17.htm",
    "logo": "https://media.glassdoor.com/sql/9079/google-squarelogo-1441130773284.png",
    "legal_name": "Google Inc.",
    "website": "https://goo.gle/4ehVuXi",
    "headquarters": "Mountain View, CA",
    "size": "10000+ Employees",
    "revenue": "$10+ billion (USD)",
    "type": "Company - Public",
    "founded_year": 1998,
    "industry": {
      "id": 200063,
      "name": "Internet & Web Services"
    },
    "sector": {
      "id": 10013,
      "name": "Information Technology"
    },
    "ceo": {
      "name": "Sundar Pichai",
      "photo": "https://media.glassdoor.com/people/sql/9079/google-sundar-pichai.png"
    },
    "ratings": {
      "overall": 4.4,
      "career_opportunities": 4.2,
      "compensation_and_benefits": 4.5,
      "culture_and_values": 4.2,
      "diversity_and_inclusion": null,
      "senior_management": 3.9,
      "work_life_balance": 4.2,
      "ceo_approval_rate": 0.83,
      "recommend_to_friend_rate": 0.87,
      "positive_business_outlook_rate": null,
      "ceo_ratings_count": 6007
    },
    "links": {
      "reviews": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm",
      "salaries": "https://www.glassdoor.com/Salary/Google-Salaries-E9079.htm",
      "interviews": null,
      "benefits": "https://www.glassdoor.com/Benefits/Google-Benefits-E9079.htm",
      "jobs": null,
      "photos": "https://www.glassdoor.com/Photos/Google-Office-Photos-E9079.htm",
      "faq": null,
      "locations": null
    }
  },
  "posted_by": "Google",
  "location": {
    "id": "IC1147431",
    "name": "Mountain View, CA",
    "type": "city",
    "city": "Mountain View, CA",
    "state": "California",
    "country": "United States",
    "postal_code": null,
    "address": null,
    "latitude": 37.38611,
    "longitude": -122.08278
  },
  "salary": {
    "min": 207000.0,
    "median": 253500.0,
    "max": 300000.0,
    "currency": "USD",
    "period": "annual",
    "source": "employer_provided"
  },
  "occupation": "software engineer",
  "job_types": [
    "full_time"
  ],
  "remote_work_types": [],
  "skills": [
    "Computer science",
    "Go",
    "Tooling",
    "System design",
    "Java",
    "Technology management",
    "Distributed systems",
    "Product management",
    "Mentoring",
    "Organizational skills",
    "Leadership",
    "Analytics"
  ],
  "education": [
    "Master's degree",
    "Bachelor's degree"
  ],
  "years_of_experience": [
    "3"
  ],
  "attributes": [
    "AI models",
    "Regression testing implementation",
    "Performance dashboards",
    "Computer science",
    "Systems integration",
    "Software engineering",
    "Data transformation pipeline development",
    "Go",
    "Computer Science",
    "Engineering development testing",
    "Automation",
    "Managing projects in an engineering role",
    "Tooling",
    "Budget control",
    "Dashboard creation",
    "Dashboard creation support",
    "Generative models",
    "System design",
    "Full-time",
    "Managing IT teams",
    "AI platforms (beyond public GPTs)",
    "3 years",
    "Prompt engineering",
    "Java",
    "Master's degree",
    "Infrastructure architecture design",
    "System design for system development",
    "Doctoral degree in Computer Science",
    "Team development",
    "Production systems",
    "Collaboration with product development teams",
    "Machine intelligence",
    "Bachelor's degree",
    "Engineering project budget management",
    "Technology management",
    "Doctor of Philosophy",
    "Model deployment",
    "Distributed systems",
    "Product management",
    "Developing large-scale AI models",
    "Mentoring",
    "Organizational skills",
    "Developing and maintaining backend systems",
    "Experience equivalent to degree accepted",
    "Managing projects",
    "Product strategy",
    "System deployment",
    "Master's degree in computer science",
    "Distributed computing",
    "AI-driven automation",
    "Senior level",
    "Managing software development teams",
    "Bachelor's degree in computer science",
    "Model evaluation",
    "Leadership",
    "Design (software development lifecycle)",
    "Generative AI",
    "Analytics",
    "Performance evaluation"
  ],
  "posted_on": "2026-09-24",
  "posted_days_ago": 32,
  "is_easy_apply": false,
  "is_sponsored": true,
  "is_expired": false,
  "similar_job_titles": []
}