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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; New York, NY, USA.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in program or project management.
• 8 years of experience in trust and safety.

Preferred qualifications:

• 8 years of experience managing cross-functional or cross-team projects.

About the job

A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you'll lead complex, multi-disciplinary projects from start to finish - working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.

Google's Cloud Responsible AI team is guided by Google's AI Principles and mission of making information universally accessible and useful by working to ensure our AI products work well for everyone. The team builds customer and industry trust in Cloud AI products and helps differentiate Google Cloud from competitors through products, programming, and tooling. We collaborate to identify new ways of thinking about Responsible AI opportunities, potential risks of harm, and concrete paths forward.

As a strategic Individual Contributor and Engineering Program Manager on the Cloud Responsible AI team, you will be an expert in architecting standardized safety processes for enterprise AI products and leading complex model safety evaluations. You will proactively incorporate cross-Google Responsible AI (RAI) practices and evolving global regulatory requirements into Cloud programming. Your focus is on ensuring the long-term success of our products, optimizing for benefit to society and Google's enterprise customers, while strictly limiting potential harm to end users.

The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $188000 - $275000 (USD) 20% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities

• Lead cross-functional collaboration across DM, Vertex, PSO, and Compliance to architect and deliver responsible AI solutions.
• Refine and implement enterprise-specific safety standards and RAI governance frameworks, translating ethical principles into actionable, consistent guidelines.
• Own the end-to-end pre-launch safety, neutrality, and testing strategy for prominent GenAI products. Provide authoritative, data-driven launch assessments to guide executive product decisions and mitigate human risks.
• Operationalize systems to ensure adherence to global regulations like the EU AI Act and ISO 42001. Engage strategic enterprise customers to gather feedback, deliver RAI workshops, and build customer-centric safety tooling.
• Define and maintain a safety product roadmap that anticipates market risks and aligns with Google's long-term strategy.