Product Manager, Safeguards
Anthropic
Location
USA
Type
Full-time
Posted
Jan 20, 2026
Compensation
USD 200000 – 200000
Mission
What you will drive
Core responsibilities:
- Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic's frontier models, AI products, and customers across various platforms
- Drive impact via ruthless prioritization by clearly defining problems, solution options, and requirements for MVP vs. ideal state
- Align and collaborate with policy, enforcement, research, engineering, and cross-functional stakeholders
- Lead the development of metrics to understand performance, blindspots, and inform future project planning
Impact
The difference you'll make
This role creates positive change by developing safeguards systems that protect users from the risks of powerful AIs and mitigate ethical, technical, and social risks from generative AI usage, ensuring AI systems are safe and beneficial for humanity.
Profile
What makes you a great fit
Required qualifications:
- 5+ years in product management with focus on fast problem understanding, building roadmaps, and detailed work on data, detection, interventions, infrastructure, tools, and/or evals
- Ability to make technical tradeoff decisions with experience working across policy experts, AI/ML research engineers, and software engineering teams
- Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for rapidly changing spaces
- Very strong ability to navigate and prioritize amidst rapidly changing product specifications, and flex into different domains to bring clarity and execute
Benefits
What's in it for you
Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space for collaboration.
About
Inside Anthropic
Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The organization is a quickly growing group of researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.