Director, Product Management, Safety, Abuse and AI Risks
Listed on 2026-02-28
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IT/Tech
Systems Engineer, AI Engineer
Applicants in San Francisco:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. 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 (statutory, where applicable); 5 days/event (discretionary)
- 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;
San Francisco, CA, USA
.
- Bachelor's degree in Engineering, Computer Science, or in a technical field or equivalent practical experience.
- 15 years of experience in product management.
- 5 years of experience defending high‑usage internet platforms from abuse and safety risks.
- 3 years of experience utilizing ML or AI to build user‑facing experiences.
- Master’s degree in engineering, a related field, or MBA.
- Expertise leading teams towards business goals.
- Ability to balance technical and business issues.
- Effective leadership capabilities, and ability to motivate a team.
- Excellent communication skills, with the ability to communicate with both technical and business experts.
Google Workspace from Google Cloud is a smart, simple, and secure family of productivity apps like Gmail, Docs, Drive, and Calendar. Designed for real‑time collaboration, they simplify work and increase team productivity. With Google Workspace, information flows freely so great ideas are never lost.
To safeguard the next generation of productivity, we established a unified Workspace Safety, Abuse, and AI Risk organization. While keeping users safe from spam and abuse, we are extending our role to generative AI. As we integrate generative AI, we focus on user trust, policy‑aligned model behavior, and proactive threat mitigation. Bringing these critical functions together ensures unified prioritization of safety guardrails, robust resource management, and deeper alignment with our AI Foundations and Engineering partners.
As the Director of Product for Safety, Abuse, and AI Risk, Workspace, you will drive product strategy and inspire a talented team to build secure and trustworthy AI‑powered productivity platforms. You will build a product team spanning multiple products and foundational capabilities, working with Engineering, Research, Legal, and Trust and Safety leads to define the safety architecture of our AI features.
The mission is to build cross‑Workspace safety frameworks, develop advanced abuse‑detection capabilities, and ensure product experiences are resilient against adversarial threats. You will work with global customers, regulatory bodies, and internal Go‑to‑Market (GTM) colleagues to understand the evolving digital safety landscape, translating complex risks into technical designs and robust product implementations.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise‑grade solutions that leverage Google’s cutting‑edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full‑time position is $320,000-$445,000 + 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…
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