Technical Program Manager, Science Strategy & Communications

San Francisco, CA | New York City, NY · San Francisco · USD 365,000-435,000 / year · Hybrid · Posted Oct 16, 2026

At a glance

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.

We're hiring a Technical Program Manager to be the bridge between the researchers advancing Claude’s scientific capabilities and the outside scientific community.
Embedded with the Discovery team, you’ll conceptualize and run the programs that get Claude into scientists’ hands and shape the Anthropic Science Blog, working with Communications, Editorial, Beneficial Deployments, and external partners such as universities, funders, and scientific societies.
This is a technical role, not a purely operational one, requiring research taste and a firsthand understanding of how academia works.

A PhD in a scientific or mathematical field, with a track record of original research
Demonstrated writing ability for both scientific domain and general-interest audiences, with enough understanding of how modern AI models are trained to write about them accurately.
Experience with the grants process, such as applying for and managing competitive funding, and ideally designing, reviewing, or administering funding programs
Deep engagement with frontier AI: you use these tools in your own work, understand where they're strong and where they fail, and take seriously the possibility that AI will transform every face of the scientific process within the next few years
Track record of driving multi-stakeholder projects to completion, and of coordinating people who are juggling other high-priority work.
Credibility with researchers: you can talk to scientists as a peer and understand how academic communities work, including their incentives, norms, and sensitivities
Fast learner who builds deep contextual understanding in unfamiliar scientific domains and can contribute meaningfully to discussions with researchers outside your own field.

Experience as a program officer, program director, or fellowship lead at a science funder, research agency, or philanthropy
Published science writing in outlets such as Quanta, Scientific American, or Physics Today, or a substantial public writing presence such as a blog or newsletter
Research experience that uses AI or ML methods, or that involves building scientific software, tools, or datasets
Experience building partnerships with scientific societies, journals, or research institutions
Familiarity with AI safety and responsible deployment, including dual-use considerations in fields like biology
Experience organizing conferences, workshops, or large coordinated launches