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Anthropic

Builds Claude AI models with a focus on safety

Technical Program Manager - Research

Program ManagementConfirmed live in the last 24 hours
Full-time$365k - $435k /yr

About the Job

Requirements

  • A bachelor's degree or an equivalent combination of education, training, and/or experience is required.
  • A relevant field of study, demonstrated through coursework, training, or professional experience, is required.
  • Experience building technical programs from scratch is expected; the required years correlate with the internal job level.
  • Background in machine learning research or engineering is expected, ideally with hands-on exposure to training, evaluation, or large-scale distributed systems.
  • Ability to ramp up on unfamiliar technical domains and contribute meaningfully to discussions with researchers.
  • Track record of operational ownership of complex technical systems, including monitoring, incident response, and performance optimization.
  • Ability to reason deeply about technical tradeoffs across model architecture, training infrastructure, evaluations, or compute efficiency, and translate them into clear decisions for leadership.
  • Stakeholder management skill and ability to influence senior technical staff through competence and consistent delivery.
  • Comfort with high-stakes decisions affecting compute spend, model training timelines, and launch outcomes.
  • Commitment to developing safe and beneficial AI systems.

Responsibilities

  • Embed within a research domain to understand its technical landscape, build trust with researchers and technical leaders, and identify high-leverage problems as research priorities evolve.
  • Move across research areas such as compute, evaluations, reinforcement learning environments, and emerging initiatives, learning new domains quickly and deeply.
  • Drive end-to-end execution of complex, ambiguous research initiatives spanning multiple teams, often without established playbooks or precedent.
  • Establish processes and frameworks that structure 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 transparent reporting across research, product, and marketing.
  • Own 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 timely decisions by analyzing technical trade-offs and presenting clear, actionable recommendations.
  • Connect research, engineering, and product teams to reduce chaos and accelerate execution.

Desired Qualifications

  • Hands-on exposure to training, evaluation, or large-scale distributed systems is ideally preferred.

About the Company

Anthropic

Builds Claude AI models with a focus on safety

Anthropic builds the Claude family of AI models and sells them to businesses, software developers, and consumers, with research on making AI safe and understandable at the center of its work. In 2024 it introduced the Model Context Protocol, an open standard for connecting AI assistants to outside apps and data that OpenAI and Google adopted the next year. People use the Claude app to write and analyze files, programmers hand coding tasks to Claude Code, and companies build Claude into their own products through its API. Anthropic earns money from subscriptions, business plans, and usage-based API fees. Siblings Dario and Daniela Amodei founded Anthropic in 2021 with other former OpenAI employees, and it is based in San Francisco.

Company size
5,001-10,000
Company stage
N/A
Total funding
$243.8B
Headquarters
San Francisco, CA
Founded
2021

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