Technical Program Manager, Research

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Anthropic's research organization works across the full model development lifecycle — from pre‑training and post‑training to alignment, interpretability, and safety — each 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. You'll be embedded in a research domain, charged with understanding how researchers work and what they need, from compute resources to cross‑team coordination.

You'll identify where the biggest opportunities for impact lie, find the highest‑leverage gaps, and build the programs, processes, and tooling that allow researchers to focus on research. This is a 0‑to‑1 role: you'll explore a domain, determine what it needs, and create lasting impact where none existed before.

• 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
• 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
• Coordinate large‑scale compute resource planning including allocation, efficiency, and prioritization across research and production work streams
• Equip research leadership to make decisions quickly by going deep on technical tradeoffs and presenting clear, actionable recommendations
• Act as the connective tissue between research, engineering, and product teams to reduce chaos and accelerate execution

• Have a background in ML research or engineering with several years of experience building technical programs from scratch
• Are a fast learner, capable of understanding and contributing to discussions on complex technical topics
• 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 production ML systems, including monitoring, incident response, and performance optimization
• Have excellent stakeholder management skill and the ability to influence senior technical staff through competence and consistent delivery
• Are comfortable with high‑stakes environments where decisions impact millions of dollars in compute spend and model training timelines
• Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems
• Are excited to redefine what technical program management looks like at the frontier of AI research

Final date to receive applications: None, applications will be received on a rolling basis.

Annual Salary $290,000—$365,000 USD

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

Location‑based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

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