Technical Program Manager, Research

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. Our research organization works across the full model development lifecycle — from pre-training and post-training to alignment, interpretability, and safety — operating at the frontier of AI development. As a Technical Program Manager for Research, you'll define and build the programs that research teams need most, moving across areas like compute, evals, RL environments, and emerging initiatives to reduce friction and enable researchers to focus on research.

Note: This role may require responding to incidents on short-notice, including on weekends.

Responsibilities

• Embed deeply within research domains to understand technical landscapes, build trust with researchers and technical leaders, and identify highest-leverage problems as priorities evolve
• Move fluidly across research areas such as compute, evals, RL environments, and emerging research initiatives, learning 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, coordinate cross-team trade-offs, and feed insights back into roadmap planning
• Equip research leadership to make decisions quickly by analyzing technical tradeoffs and presenting clear, actionable recommendations
• Act as connective tissue between research, engineering, and product teams to reduce chaos and accelerate execution

Requirements / You May Be a Good Fit If You

• Background in ML research or engineering with several years of experience building technical programs from scratch; ideally hands-on exposure to training, evaluation, or large-scale distributed systems
• 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 to drive progress in fast-moving research environments
• Track record of operational ownership of complex technical systems, including monitoring, incident response, and performance optimization
• Able to reason about technical tradeoffs across model architecture, training infrastructure, evals, or compute efficiency and translate them into clear decisions for leadership
• Excellent stakeholder management skills and the ability to influence senior technical staff through competence and consistent delivery
• Comfortable with high-stakes environments where decisions impact compute spend, training timelines, and launch outcomes
• Passionate about the potential impact of AI and committed to developing safe and beneficial systems
• Excited to redefine what technical program management looks like at the frontier of AI research

Compensation

The annual compensation range for this role is listed below.

Annual Salary: $365,000 - $435,000 USD

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with internal job level requirements for the position
• Location-based hybrid policy: Currently, staff are expected to be in one of our offices at least 25% of the time; some roles may require more time in office
• Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer to assist when they make an offer

How We're Different

• We pursue large-scale, high-impact AI research as a cohesive team focused on a few major research efforts rather than many small projects
• We treat AI research as an empirical science and host frequent research discussions to ensure highest-impact directions
• We value communication and collaboration across researchers, engineers, policy experts, and business leaders

Benefits & Culture

• Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and an office space for collaboration
• Commitment to inclusion and diverse perspectives; encouragement to apply even if you don’t meet every qualification
• Candidate guidance about AI usage in the application process is provided on the company website