Anthropic

3 months ago

Technical Program Manager, Research

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Technical Program Manager for AI research leads cross-domain programs across compute, evals, RL environments, and emerging initiatives. You’ll embed with research teams, define needed programs, processes, and tooling, and coordinate across research, engineering, and product to reduce chaos and accelerate execution. This role includes incident response and shaping roadmaps for impactful, large-scale AI research projects.

Location: San Francisco, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Program & Project Management (PMO)

Key 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, knowing the surface area will shift over time as research priorities evolve
•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, 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

Pay and Benefits

Salary: USD 365,000 - 435,000 annually

Key Requirements

•Have a background in ML research or engineering with several years of experience building technical programs from scratch, ideally with hands-on exposure to training, evaluation, or large-scale distributed systems
•Are a fast learner who can ramp on unfamiliar technical domains quickly and contribute meaningfully to discussions with researchers
•Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in fast-moving research environments
•Have a track record of operational ownership of complex technical systems, including monitoring, incident response, and performance optimization
•Can reason about technical tradeoffs at depth across model architecture, training infrastructure, evals, or compute efficiency, and translate them into clear decisions for leadership

Experience:Artificial intelligenceMachine learning

Education:Bachelor's

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn

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Anthropic

3 months ago

Technical Program Manager, Research

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Program & Project Management (PMO)

Key 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, knowing the surface area will shift over time as research priorities evolve
•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, 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

Pay and Benefits

Salary: USD 365,000 - 435,000 annually

Key Requirements

•Have a background in ML research or engineering with several years of experience building technical programs from scratch, ideally with hands-on exposure to training, evaluation, or large-scale distributed systems
•Are a fast learner who can ramp on unfamiliar technical domains quickly and contribute meaningfully to discussions with researchers
•Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in fast-moving research environments
•Have a track record of operational ownership of complex technical systems, including monitoring, incident response, and performance optimization
•Can reason about technical tradeoffs at depth across model architecture, training infrastructure, evals, or compute efficiency, and translate them into clear decisions for leadership

Experience:Artificial intelligenceMachine learning

Education:Bachelor's

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn