{"id":3674472,"url":"https://alion.io/job/google-product-manager-agentic-governance-capabilities","title":"Product Manager, Agentic Governance Capabilities","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":78,"open_postings":134,"ghost_share":0.045,"stale_share":0.739,"repost_share":0.045,"time_to_fill_p50_days":30,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"LLM","optional":true},{"name":"LLM Guardrails","optional":true}],"status":"live","first_seen_at":"2026-11-03T08:12:43Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-09T01:53:48Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About the job\nThe Technical Risk Management (TRM) organization is forging a Privacy, Compliance, and Risk practice at Google. Within TRM, our SDLC Governance program is dedicated to fundamentally transforming how Google manages technical risk across the Software Development Life Cycle (SDLC) while significantly accelerating launch velocity.\nTo achieve this, we are building agentic capabilities to scale our operations, shift risk detection left, and streamline release clearance. You will help lead the transition from traditional, manual review workflows to continuous, automated systems that proactively verify compliance across the development and launch lifecycle and allow us to strategically focus our de-risking efforts.\nYou will collaborate closely with fellow PMs, Software Engineers, UX designers, Risk Experts, and partner product teams across Google. This is a unique opportunity to define product strategy for agentic governance, build trust with our partners, ensure Google effectively manages its key risks, and shape the future of automated governance at scale.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nDeliver a compelling multi-quarter goal, strategy, and roadmap for a designated capability area within SDLC Governance. Make data-informed prioritization and investment decisions to keep engineering teams focused on high-impact initiatives that improve product velocity and risk posture.\nOwn the full lifecycle for AI agents and automated validation systems from conception to launch. Write clear product specs, define success metrics and evaluation rubrics, and partner closely with Engineering and UX to determine optimal technical implementation and integration into core developer and launch workflows.\nPartner closely with Privacy Engineers, Legal, and risk practitioners to decompose complex regulatory and policy requirements into actionable technical specifications, automated checks, and agentic workflows.\nGuide the integration of adjacent projects across distributed global teams. Communicate product strategy clearly to executive leadership and partner Product Areas, resolving complex technical, UX, and policy trade-offs.\nQualifications\nMinimum qualifications:\nBachelor's degree or equivalent practical experience.\n5 years of experience in product management or related technical role.\n2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).\nPreferred qualifications:\nExperience building, evaluating, or shipping LLM-powered and agentic workflows, including defining quality benchmarks, precision/recall guardrails, and human-in-the-loop patterns.\nExperience preparing and delivering technical presentations to senior leadership, with strong influence across distributed engineering and domain expert teams.\nFamiliarity with developer tools, SDLC/code review workflows, or technical risk and compliance systems.\nProven track record of synthesizing conflicting signals from stakeholders 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