Product Manager, Agentic Governance Capabilities

Company: Google

Locations: Boulder, Colorado, United States; Chicago, Illinois, United States; Austin, Texas, United States

Salary: $163K – $236K a year

Work arrangement: On-site

Employment type: Full-time

Experience: 5-10 years

Education: bachelor degree

Posted: 2026-11-03

Responsibilities

You will lead the strategy and roadmap for agentic governance capabilities to automate technical risk management across the software development lifecycle. This involves collaborating with engineering, legal, and privacy teams to build AI-driven validation systems that improve launch velocity and compliance.

Requirements

Candidates must have at least 5 years of product management experience, including 2 years of taking technical products from conception to launch. Preferred qualifications include experience with LLM-powered workflows, developer tools, and managing complex multi-stakeholder environments.

Skills

  • Product Management
  • LLM
  • Agentic Workflows
  • SDLC
  • Technical Risk Management
  • Compliance
  • Privacy
  • Automation
  • Stakeholder Management
  • Product Strategy
  • Roadmap Planning
  • Data-informed Prioritization
  • Technical Presentations
  • Risk Detection
  • Human-in-the-loop

Benefits

  • Bonus
  • Equity
  • Health Insurance

About this role

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.

You 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.

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
[https://www.google.com/about/careers/applications/benefits/].

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.

About Google

Software Development · 10,001+ employees · headquartered in Mountain View, CA

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