Description
Anthropic's research organization works across the full model development lifecycle, from pre-training and post-training to alignment, interpretability, and safety. As a Technical Program Manager for Research, you'll define and build the programs that research teams need most. You'll 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.
Responsibilities:
- 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
- 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
- Own execution and operational health of RL environments across major training runs
- 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
Requirements:
- Background in ML research or engineering with several years of experience building technical programs from scratch
- Fast learner who can ramp on unfamiliar technical domains quickly and contribute meaningfully to discussions with researchers
- Resourceful, high-agency, and able to navigate ambiguity and shifting priorities
- Track record of operational ownership of complex technical systems
- Excellent stakeholder management skill and the ability to influence senior technical staff
- Comfortable with high-stakes environments where decisions impact compute spend, model training timelines, and launch outcomes
Benefits:
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Lovely office space
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/anthropic/jobs/5203545008