Anthropic29.04.2026
Technical Program Manager, Research
San Francisco
Обязанности
- 01Embed 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
- 02Move fluidly across research areas like compute, evals, RL environments, and emerging research initiatives, picking up new domains quickly and getting to depth fast
- 03Drive end-to-end execution of complex, ambiguous research initiatives spanning multiple teams, often without established playbooks or precedent
- 04Establish processes and frameworks that bring structure to unstructured research environments without slowing researchers down
- 05Lead efforts like large-scale compute resource planning, including allocation, efficiency, and prioritization across research and production workstreams
- 06Drive eval readiness for model launches by standardizing results, shaping eval plans early, improving tooling, and ensuring honest, transparent reporting
- 07Own execution and operational health of RL environments across major training runs, coordinating cross-team trade-offs and feeding insights back into roadmap planning
- 08Equip research leadership to make decisions quickly by going deep on technical tradeoffs and presenting clear, actionable recommendations
- 09Act as the connective tissue between research, engineering, and product teams to reduce chaos and accelerate execution
Требования
- 01Background in ML research or engineering with several years of experience building technical programs from scratch
- 02Ideally with hands-on exposure to training, evaluation, or large-scale distributed systems
- 03Fast learner who can ramp on unfamiliar technical domains quickly and contribute meaningfully to discussions with researchers
- 04Resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in fast-moving research environments
- 05Track record of operational ownership of complex technical systems, including monitoring, incident response, and performance optimization
- 06Ability to reason about technical tradeoffs at depth across model architecture, training infrastructure, evals, or compute efficiency
- 07Excellent stakeholder management skills and the ability to influence senior technical staff through competence and consistent delivery
- 08Comfort with high-stakes environments where decisions impact compute spend, model training timelines, and launch outcomes
- 09Passion for the potential impact of AI and commitment to developing safe and beneficial systems
- 10Bachelor's degree or equivalent combination of education, training, and/or experience in a relevant field
Условия
- 01Annual Salary: $365,000 — $435,000 USD
- 02Minimum education: Bachelor’s degree or equivalent
- 03Location-based hybrid policy: At least 25% of time in office
- 04Visa sponsorship available (with reasonable effort)