Technical Program Manager (Compute)

• 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
• Our compute fleet is the foundation on which every model training run, evaluation, and inference workload depends
• You’ll join a small, high-impact TPM team and take ownership of critical workstreams across the compute lifecycle, from how supply is procured and brought online, to how capacity is allocated and utilized across teams
• The exact focus will depend on your strengths and the team’s evolving needs
• You’ll 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
• 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

Benefits

• Comprehensive health, dental, and vision insurance for you and your dependents

• Inclusive fertility benefits via Carrot Fertility

• 22 weeks of paid parental leave

• Flexible paid time off and absence policies

• Mental health support for you and your dependents

• Competitive salary and equity packages

• Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant

• Retirement plans with competitive matching

• Life and income protection plans

• $500/month flexible wellness and time saver stipend

• Commuter benefits

• Annual education stipend

• Home office stipends

• Relocation support for those moving for Anthropic

• Daily meals and snacks in the office

• Have led complex, cross-functional programs involving multiple engineering teams with competing priorities and ambiguous requirements

• Thrive in ambiguous, fast-moving environments where you need to define scope and build processes from the ground up

• Have experience working with research or ML teams and translating their needs into operational plans and technical requirements

• Have strong communication skills and can engage credibly with engineers, researchers, finance, and executive leadership

• Have 7+ years of technical program management experience in infrastructure, platform engineering, or compute-intensive environments

• Are comfortable diving deep into technical details (cloud infrastructure, cluster management, job scheduling, resource orchestration) while maintaining program-level visibility

• Have a track record of building trust with engineering teams and driving changes through influence rather than authority

• Experience managing compute capacity across multiple cloud providers (AWS, GCP, Azure) or hybrid cloud/on-premise environments

• Familiarity with job scheduling, resource orchestration, or workload management systems (Kubernetes, Slurm, Borg, YARN, or custom schedulers)

• Experience with GPU or accelerator infrastructure, including the unique challenges of large-scale ML training and inference workloads

• Capacity planning experience including demand forecasting, cost modeling, or hardware lifecycle management

• Built or improved observability for infrastructure systems: dashboards, alerting, efficiency metrics, or cost attribution

• Scaled through hypergrowth in AI/ML, HPC, or large-scale cloud environments

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

• 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

• Deadline to Apply: None, applications will be received on a rolling basis