The opportunity
Anthropic's research organization works across the full model development lifecycle, from pre-training and post-training to alignment, interpretability, and safety, each operating at the frontier of AI development. As a Technical Program Manager for Research, you'll define and…
What you'll do
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, knowing the surface area will shift over time as research priorities evolve
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
What they're looking for
- 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
