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. Your work will involve collaborating 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.

Responsibilities

• 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
• 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

Requirements

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: 7+ years of technical program management experience in infrastructure, platform engineering, or compute-intensive environments

Qualifications

• Lead complex, cross-functional programs involving multiple engineering teams with competing priorities and ambiguous requirements
• Experience working with research or ML teams and translating their needs into operational plans and technical requirements
• Comfortable diving deep into technical details (cloud infrastructure, cluster management, job scheduling, resource orchestration) while maintaining program-level visibility
• Strong communication skills and ability to engage credibly with engineers, researchers, finance, and executive leadership
• Built or improved observability for infrastructure systems: dashboards, alerting, efficiency metrics, or cost attribution
• Experience with GPU or accelerator infrastructure, including the unique challenges of large-scale ML training and inference workloads
• Experience with job scheduling, resource orchestration, or workload management systems (Kubernetes, Slurm, Borg, YARN, or custom schedulers)
• Experience with scaling through hypergrowth in AI/ML, HPC, or large-scale cloud environments

Skills

Strong communication skills and ability to engage credibly with engineers, researchers, finance, and executive leadership

Benefits

Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues

Pay

$290,000—$365,000 USD

Schedule

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.