Technical Program Manager, Compute
Anthropic · San Francisco, CA | New York City, NY | Seattle, WA · Technical Program Management
About this role
Anthropic is hiring a mid-level Technical Program Manager in the software engineering function based in San Francisco, CA | New York City, NY | Seattle, WA. The posting calls out experience with AWS, GCP, Azure, Kubernetes. Compensation is listed at $290,000–$365,000 per year.
- Role
- Technical Program Manager
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Francisco, CA | New York City, NY | Seattle, WA
- Department
- Technical Program Management
More roles at Anthropic
Job description
from Anthropic careersAbout Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
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. 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.
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