About this role
Job title: Technical Program Manager, Compute
About the Role As a Technical Program Manager on the Compute team, you will help drive the planning, coordination, and execution of programs that keep Anthropic's compute infrastructure running efficiently at scale. You will partner with Infrastructure, Systems, Research, Finance, and Capacity Engineering to shape the processes, tooling, and coordination mechanisms that allow Anthropic to move fast while managing an increasingly complex compute environment.
What You'll Do
- Own and drive critical programs across the compute lifecycle, coordinating execution across multiple engineering, research, and operations teams
- Build and maintain operational visibility into the compute fleet, ensuring the organization has a clear picture of supply, demand, utilization, and health
- Lead cross-functional coordination for compute transitions: bringing new capacity online, migrating workloads, and managing decommissions across cloud providers and hardware platforms
- Partner with engineering and research leadership to navigate competing priorities and drive alignment on how compute resources are planned, allocated, and used
- Identify and close operational gaps across the compute pipeline, whether through new tooling, improved processes, or better cross-team communication
- Own trade-off discussions between utilization, cost, latency, and reliability, synthesizing inputs from technical and business stakeholders and communicating decisions to leadership
- Develop and improve the processes and frameworks the team uses to plan, track, and execute compute programs at increasing scale and complexity
What We're Looking For
- Have 7+ years of technical program management experience in infrastructure, platform engineering, or compute-intensive environments
- Have led complex, cross-functional programs involving multiple engineering teams with competing priorities and ambiguous requirements
- Have experience working with research or ML teams and translating their needs into operational plans and technical requirements
- Are comfortable diving deep into technical details (cloud infrastructure, cluster management, job scheduling, resource orchestration)