Product Manager, AI Safety & Safeguards

Anthropic Limited; San Francisco (CA); Hybrid; USD 385,000 - 460,000; Full time

Benefits offered by this job

Competitive compensation

Equity donation matching

Generous vacation

Parental leave

Flexible working hours

Job summary

Anthropic Limited is seeking a Product Manager for Safeguards (Account Integrity & Abuse) to own safety-focused product development and deployment across Claude.ai, 1P API, and external cloud surfaces. You will collaborate with research and product teams to design detectors, evaluations, interventions, and UX to mitigate deployment risks.

You will lead prioritization, define requirements for MVPs and futures states, and work with policy, enforcement, and engineering to advance safe, reliable AI

Qualifications

• Ability to make technical tradeoff decisions across policy, AI/ML research and software teams.
• Strong understanding of user needs and Safeguards concerns.
• Experience building product/engineering strategy across cross-functional teams.
• Experience designing metrics to evaluate risks, performance and impact.
• Ability to communicate complex concepts to non-technical audiences.

Responsibilities

• Determine safety-by-design upstream and leverage defenses for frontier models and products.
• Write safety evals and communicate externally about safety.
• Prioritize ruthlessly with clear requirements for MVP vs. ideal state.
• Align with policy, enforcement, research, engineering and stakeholders.
• Understand AI landscape to plan for deployment risk mitigation.
• Lead development of metrics to track area performance and gaps.

Skills

Tradeoff decisions

Cross-functional leadership

Safety systems design

Communication to non-technical

Product strategy

Education

Bachelor’s degree

Job description

Anthropic Limited is seeking a Product Manager for Safeguards (Account Integrity & Abuse) to own safety-focused product development and deployment across Claude.ai, 1P API, and external cloud surfaces. You will collaborate with research and product teams to design detectors, evaluations, interventions, and UX to mitigate deployment risks.

You will lead prioritization, define requirements for MVPs and futures states, and work with policy, enforcement, and engineering to advance safe, reliable AI