Policy Development, Technical AI Governance

New York City, NY · San Francisco · Washington, DC · Washington, D.C. · USD 265,000-295,000 / year · Hybrid · Posted Oct 13, 2026

At a glance

Workplace: Hybrid
Location: New York City, NY · San Francisco · Washington, DC · Washington, D.C.
Salary: USD 265,000-295,000 / year · Base salary
Visa sponsorship: Visa sponsorship available

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

As a policy analyst on the Policy Development team, you will translate technical insights into workable new policy ideas for governing frontier AI.
You will drive work on technical and cross-lab safety practices, deepen work on frontier AI legislation, and develop new technical governance ideas that you pressure-test with researchers and carry into policy proposals.

Help develop technical safety best practices and standards for frontier development, working closely with policy, research, and safeguards teams
Support cross-lab discussions and initiatives and serve as the Anthropic representative in key standards initiatives and groups
Review and give substantive input on federal, state, and global frontier AI safety bills, including on risk reporting, independent evaluation, and incident reporting, helping shape AI safety legislation development
Work with external affairs policy teams to strengthen the frontier AI legislative framework
Contribute research and analysis across the policy team's pacing workstreams, including developing novel policy proposals that address challenges related to the acceleration of AI R&D
Engage with the external AI safety and governance community to track new thinking and feed it into our own
Write clear memos and briefings that help leadership align on decisions

Are fluent in frontier AI safety and technical AI governance: the main players, proposals, and debates
Can read legislative text and comment usefully on it
Have expertise in any of the following domains: loss-of-control, alignment, compute governance, independent evaluation, model weight security, risk reporting
Write clearly for researchers, leadership, and policymakers
Can pick up new technical topics quickly and translate them to the broader policy landscape
Are comfortable with ambiguity and can own a project end to end

Are excited about standards work, and also want to contribute across the wider technical governance agenda
Have direct experience in an AI governance or safety research organization or frontier lab
Have experience working closely with standards bodies or industry consortia
Have experience developing and shaping technical legislation
Have published novel policy thinking on AI governance