As a Technical Program Manager for Research at Anthropic, you will define and build the programs that research teams need most. You will move across research areas like compute, evals, RL environments, and emerging research initiatives, going deep enough in each to understand how researchers work and what they need. You will identify where the biggest opportunities for impact lie, find the highest-leverage gaps, and build the programs, processes, and tooling that allow researchers to focus on research.
Key responsibilities include: Embed deeply within a research domain to understand the technical landscape, build trust with researchers and technical leaders, and identify the highest-leverage problems to solve. Move fluidly across research areas like compute, evals, RL environments, and emerging research initiatives, picking up new domains quickly and getting to depth fast. Drive end-to-end execution of complex, ambiguous research initiatives spanning multiple teams, often without established playbooks or precedent. Establish processes and frameworks that bring structure to unstructured research environments without slowing researchers down. Lead efforts like large-scale compute resource planning, including allocation, efficiency, and prioritization across research and production workstreams. Drive eval readiness for model launches by standardizing results, shaping eval plans early, improving tooling, and ensuring honest, transparent reporting across research, product, and marketing. Own execution and operational health of RL environments across major training runs, coordinating cross-team trade-offs and feeding insights back into roadmap planning. Equip research leadership to make decisions quickly by going deep on technical tradeoffs and presenting clear, actionable recommendations. Act as the connective tissue between research, engineering, and product teams to reduce chaos and accelerate execution.
You may be a good fit for this role if you have a background in ML research or engineering with several years of experience building technical programs from scratch, are a fast learner who can ramp on unfamiliar technical domains quickly, and are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in fast-moving research environments.
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