Technical Program Manager, Science Strategy & CommunicationsActive$365K

The opportunity

Accelerating scientific discovery is a core part of Anthropic's mission, and we believe the highest-leverage path to this is enabling researchers externally to use Claude effectively for their work. This involves communicating Claude’s rapidly improving scientific capabilities…

What you'll do

  • Act as the interface between research and the outside world. Stay close to: the researchers working on Claude's scientific capabilities and translate rapid capability gain into use by external researchers.

  • Help set Anthropic’s external science strategy. Recommend which scientific: areas and communities we focus on, and how our programs, collaborations, and communications fit together

  • Guide the scientific direction of the Anthropic Science Blog . Work with: researchers and the Editorial team to identify and source stories internal and external stories worth telling, draft and edit posts, and keep a steady cadence of high-quality science writing.

  • Drive forward external science programs. Design, launch, and run grants and: access programs such as AI for Science grants and Team plan offerings for research groups, as well as partnerships with scientific foundations and grantmaking organizations. Work with Beneficial Deployments on programs aimed at the highest-impact scientific areas.

  • Gather feedback from scientific communities. Identify usage patterns and: gather feedback on how researchers use Claude and what capability gaps exist, and turn it into concrete recommendations for research and product teams.

  • A PhD in a scientific or mathematical field, with a track record of original research

What they're looking for

  • 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