Technical Program Manager, 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
• Move fluidly across research areas like compute, evals, RL environments, and emerging research initiatives
• Drive end-to-end execution of complex, ambiguous research initiatives spanning multiple teams
• Establish processes and frameworks that bring structure to unstructured research environments
• Lead efforts like large-scale compute resource planning, including allocation, efficiency, and prioritization
• Drive eval readiness for model launches by standardizing results, shaping eval plans, improving tooling, and ensuring honest reporting
• Own execution and operational health of RL environments across major training runs
• Equip research leadership to make decisions quickly by going deep on technical tradeoffs
• Act as the connective tissue between research, engineering, and product teams

You May Be a Good Fit If You

• 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
• Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities
• 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
• Have excellent stakeholder management skill and the ability to influence senior technical staff
• Are comfortable with high-stakes environments

Compensation

Annual Salary: $365,000—$435,000 USD