Technical Program Manager, Research

Anthropic•San Francisco, NY

4h•$290,000 - $365,000•Hybrid

About The Position

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.

Requirements

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

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
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 workstreams
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