Technical Program Manager, Research

Details

Anthropic's research organization works across the full model development lifecycle, including pre-training, post-training, alignment, interpretability, and safety. This role defines and builds programs that enable research teams to work effectively across areas such as compute, evaluations, reinforcement learning environments, and emerging research initiatives. The position involves exploring new domains as priorities shift, identifying high-leverage gaps, and creating programs, processes, and tooling from the ground up.

The role may require responding to incidents on short notice, including on weekends.

Responsibilities

• Embed deeply within research domains to understand the technical landscape, build trust with researchers and technical leaders, and identify high-leverage problems.
• Move across research areas such as compute, evaluations, reinforcement learning environments, and emerging research initiatives.
• Drive end-to-end execution of complex and ambiguous research initiatives spanning multiple teams.
• Establish processes and frameworks that bring structure to unstructured research environments without slowing researchers down.
• Lead large-scale compute resource planning, including allocation, efficiency, and prioritization across research and production workstreams.
• Drive evaluation readiness for model launches by standardizing results, shaping evaluation plans early, improving tooling, and ensuring honest and transparent reporting across research, product, and marketing.
• Own the execution and operational health of reinforcement learning environments across major training runs.
• Coordinate cross-team trade-offs and feed insights into roadmap planning.
• Equip research leadership to make decisions quickly by analyzing technical trade-offs and presenting clear, actionable recommendations.
• Connect research, engineering, and product teams to reduce operational complexity and accelerate execution.

Requirements

• Background in machine learning research or engineering with several years of experience building technical programs from scratch.
• Ideally, hands-on exposure to model training, evaluation, or large-scale distributed systems.
• Ability to learn unfamiliar technical domains quickly and contribute meaningfully to discussions with researchers.
• Resourcefulness, high agency, and the ability to navigate ambiguity and shifting priorities.
• Track record of operational ownership of complex technical systems, including monitoring, incident response, and performance optimization.
• Ability to reason deeply about technical trade-offs involving model architecture, training infrastructure, evaluations, or compute efficiency.
• Ability to translate technical trade-offs into clear decisions for leadership.
• Excellent stakeholder management skills and the ability to influence senior technical staff through competence and consistent delivery.
• Comfort working in high-stakes environments where decisions affect compute spending, model training timelines, and launch outcomes.
• Passion for the potential impact of AI and commitment to developing safe and beneficial AI systems.
• Bachelor's degree or an equivalent combination of education, training, and experience.
• Education or professional experience in a field relevant to the role.

Compensation

The annual salary range is $365,000–$435,000 USD.

Benefits

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and an office environment for collaboration.

Work Policy and Sponsorship

Staff are currently expected to work from one of Anthropic's offices at least 25% of the time, although some roles may require more office time. Anthropic sponsors visas and states that it will make every reasonable effort to obtain a visa for candidates who receive an offer.