Product Manager, Agentic Governance Capabilities
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in product management or related technical role.
- 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
Preferred qualifications:
- Experience building, evaluating, or shipping LLM-powered and agentic workflows, including defining quality benchmarks, precision/recall guardrails, and human-in-the-loop patterns.
- Experience preparing and delivering technical presentations to senior leadership, with strong influence across distributed engineering and domain expert teams.
- Familiarity with developer tools, SDLC/code review workflows, or technical risk and compliance systems.
- Proven track record of synthesizing conflicting signals from stakeholders (Engineering, Legal, Privacy, UX) to drive clear decisions and fast, high-quality execution.
- Demonstrated ability to structure ambiguous, multi-stakeholder problem spaces into clear product strategies, metric frameworks, and phased roadmaps.
About the job
The 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.
To 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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Deliver 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.
- Own 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.
- Partner closely with Privacy Engineers, Legal, and risk practitioners to decompose complex regulatory and policy requirements into actionable technical specifications, automated checks, and agentic workflows.
- Guide 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.
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