Product Policy Manager, Product Risk
Anthropic · Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY · San Francisco, CA
CHECKED 3H AGO
Frontier labremote$245k–$285k
At a glance
Highlights
- Set safeguards approach for assessing product launches for safety risks.
- Drive safety mitigations with product, legal, and engineering partners.
- Design bespoke product safety evaluations to inform launch strategies.
What they offer
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
Ideal candidate
Technical-minded policy expert comfortable bridging engineering and non-technical stakeholders, passionate about responsible AI and anticipating misuse to balance innovation with safety.
Requirements
- Have a strong technical background while also feeling equally comfortable explaining highly technical concepts to non-technical stakeholders
- Understand safety policies and safety considerations associated with a wide range of product surfaces
- Are adept at prioritizing where, and how, to focus resources for safety mitigations in a high volume launch process
- Have conducted risk evaluations of novel products in fast moving organizations
- Demonstrated expertise collaborating with product and engineering teams to integrate safety considerations into product development
- Have a thorough understanding of AI ethics, responsible AI principles, and current debates surrounding AI safety and governance
- Have the ability to think creatively about potential misuses of technology and develop innovative solutions to mitigate risks
- Have shown strong program management skills with the ability to drive policy development processes from ideation to implementation
- remote policy
- Hybrid - in office at least 25% of the time
- visa sponsorship
- We do sponsor visas
Lab profile
About Anthropic
AI safety company building reliable, interpretable and steerable frontier AI systems.
What they build
- Claude
- Claude API
- Claude Code
Known for
- AI safety and alignment
- Model interpretability research
- Frontier LLM development
Key facts
- Founded in 2021
- Headquartered in San Francisco, California
- Backed by Amazon and Google