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X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA.

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 8 years of experience in program management.
• Experience with artificial intelligence/machine learning projects, tools, or infrastructure.
• Experience establishing and tracking KPIs for trust and safety, anti-abuse metrics, and AI safety features.
• Experience with AI safety principles, anti-abuse mechanisms, content moderation, and guardrail evaluation in Large Language Models (LLMs) and Generative AI release cycles.

Preferred qualifications:

• 8 years of experience managing cross-functional or cross-team projects.
• Experience working with AI red-teaming, prompt injection defenses, automated content moderation, and generative AI safety guardrails.
• Experience managing customer trust and safety expectations and establishing best practices for safe AI deployment in enterprise environments.
• Demonstrated track record of managing trust and safety work streams, mitigating emerging AI risks, and managing strategic alignment across evolving programs.
• Exceptional stakeholder management skills, with the ability to influence cross-functional engineering, policy, and research teams without direct authority.

About the job

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.

Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.

Join our Cloud AI team and shape the future of AI development.

As a Technical Program Manager for Safety and Anti-Abuse, you will guide the delivery of AI safeguards and anti-abuse initiatives for Generative AI products. You will partner with product managers, engineers, policy teams, and leadership to define safety roadmaps, prioritize anti-abuse features, implement model guardrails, and manage complex safety projects to successful release.

In this role, you will navigate a fast-paced environment where your technical depth, safety expertise, and program management directly influence Google's AI safety strategy. If you are passionate about trust and safety in AI, skilled at managing complex anti-abuse programs, and ready to go deep technically on content moderation, adversarial testing, and risk mitigation.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $278000 (USD) 20% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities

• Manage safety and anti-abuse programs with deep technical and product understanding, applying program management expertise to complex GenAI contexts while providing thought leadership on AI safety.
• Manage end-to-end life-cycles of AI safety initiatives, from requirement gathering and threat modeling to risk assessment, policy enforcement, and feature prioritization.
• Partner with engineering, policy, legal, and product teams to define safety workstreams, mitigation plans, and release milestones. Drive alignment on trust and safety standards across all stakeholders.
• Provide clear project status updates to leadership and partners. Advocate for advanced safety evaluation methodologies, red-teaming practices, and Key Performance Indicators (KPIs) for abuse detection and safety performance.

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