Program Manager, AI/ML, Trust and Safety
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- 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
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience managing programs with multiple work streams in compliance, risk management, audit, legal, or consulting.
- Experience in Trust and Safety Operations.
Preferred qualifications:
- Advanced degree in a relevant field (e.g., Business, Compliance, Law).
- Certification in PMP (Project Management Professional) or Six Sigma.
- Experience driving operational and organizational transformations.
- Ability to collaborate with cross-functional teams, senior management, and stakeholders.
- Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
About the job
Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.
As an AI/ML Program Manager for Compute Trust and Safety Operational Excellence team, you will drive the efforts associated with the development, deployment, and ongoing governance of our AI/ML infrastructure. You are tasked with a mission-critical mandate, accelerating the AI transformation of Google Play's Trust and Safety Operations. This isn't about incremental gains; it’s about a fundamental paradigm shift. You will lead the transition from manual-heavy moderation to a high-precision, AI-native ecosystem. You will sit at the intersection of policy, engineering, analytics, product, and operations, ensuring that our AI models don't just work fast, but work right, improving decision accuracy and global coverage while significantly reducing our reliance on manual workflows.
At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.
The US base salary range for this full-time position is $136,000-$197,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Orchestrate the transition from manual-heavy review to an AI-native ecosystem by defining the future state of human-in-the-loop and human-on-the-loop operations, assessing product requirements for Al/ML model training, and implementing processes for end-to-end governance from development through deployment.
- Navigate complex, global initiatives by unifying Product, Engineering, and Policy teams.
- Act as a primary bridge between analytics, engineering, and operational teams to define and integrate an AI-native workforce, measurement, and tooling strategy.
- Lead strategic resource modeling and capacity planning across global teams to ensure technical and human expertise are effectively deployed to meet high-priority Trust and Safety goals.
- Advocate for Al and automation efforts ensuring the benefits of Al are strategically integrated to enhance efficiency and quality.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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