Role Overview
The Technical Program Manager, Compute role at Anthropic involves driving the planning, execution, and coordination of programs that keep the company compute infrastructure running smoothly at scale. This position is available in San Francisco, New York City, or Seattle, and is well-suited for a seasoned professional with deep technical expertise in infrastructure and resource management.
Key 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 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.
Partner with engineering and research leadership to navigate competing priorities and align on how compute resources are planned, allocated, and used.
Identify and close operational gaps across the compute pipeline through new tooling, improved processes, or better cross-team communication.
Manage trade-off discussions between utilization, cost, latency, and reliability, synthesizing inputs from various stakeholders.
Develop and improve processes and frameworks used to plan, track, and execute compute programs at increasing scale and complexity.
Requirements
Bring 7+ years of technical program management experience in infrastructure, platform engineering, or compute-intensive environments.
Demonstrate experience leading complex, cross-functional programs involving multiple engineering teams with competing priorities and ambiguous requirements.
Possess experience working with research or ML teams, translating their needs into operational plans and technical requirements.
Maintain comfort diving deep into technical details such as cloud infrastructure, cluster management, job scheduling, and resource orchestration.
Thrive in ambiguous, fast-moving environments requiring independent definition of scope and process building.
Exhibit strong communication skills to engage credibly with engineers, researchers, finance, and executive leadership.
Show a track record of building trust with engineering teams and driving changes through influence rather than authority.
Meet minimum education criteria of a Bachelor's degree or equivalent combination of education, training, and experience in a relevant field.
Nice to Have
Experience managing compute capacity across multiple cloud providers like AWS, GCP, and Azure, or hybrid cloud and on-premises environments.
Familiarity with job scheduling, resource orchestration, or workload management systems including Kubernetes, Slurm, Borg, YARN, or custom schedulers.
Experience with GPU or accelerator infrastructure, addressing large-scale ML training and inference workload challenges.
Background building or improving observability for infrastructure systems such as dashboards, alerting, efficiency metrics, or cost attribution.
Capacity planning experience including demand forecasting, cost modeling, or hardware lifecycle management.
Experience scaling through hypergrowth in AI, ML, HPC, or large-scale cloud environments.
Skills and Tools
AWS
GCP
Azure
Kubernetes
Salary and Benefits
Annual salary range of $290,000 to $365,000 USD.
Competitive compensation and benefits package.
Optional equity donation matching.
Generous vacation and parental leave.
Flexible working hours.
Access to a collaborative office space with a location-based hybrid policy expecting staff in-office at least 25% of the time.
Visa sponsorship available for qualifying candidates.
About the Company
Anthropic is a public benefit corporation headquartered in San Francisco with a mission to create reliable, interpretable, and steerable AI systems that are safe and beneficial for society. The organization operates as a collaborative public benefit corporation, treating AI research as an empirical science and focusing on large-scale research efforts to advance trustworthy artificial intelligence.
How to Apply
To apply for this position, please visit the official Anthropic careers page and submit your application online.
