anthropic
Technical Program Manager, Platform
At a Glance
- Location
- San Francisco, CA | New York City, NY | Seattle, Washington, United States
- Posted
- 2026-03-17T19:26:27-04:00
Requirements
We require at least a Bachelor's degree in a related field or equivalent experience.
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.
Compensation & Benefits
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$365,000
—
$435,000 USD
Logistics
Responsibilities
As a Technical Program Manager for Platform, you'll own the programs that stand up and operate Anthropic's APIs and serving infrastructure across multiple cloud environments. This means driving deployments from scoping through production, running the platform work that spans them, and working across API, Platform Foundations, Security, our cloud provider counterparts, and whoever else is on the critical path when dependencies and tradeoffs pile up.
Own end-to-end program execution for Anthropic’s API across major cloud deployments, from scoping through production launch and steady-state operations
Drive the platform programs that cut across individual deployments: the shared foundations that get built once and reused, not rebuilt per cloud.
Act as a primary coordination point with cloud provider counterparts, keeping engagement clean across multiple internal teams with touchpoints into the same partner
Partner with engineering leadership to turn technical direction into executable plans with clear owners, dependencies, and risk tracking
About the Company
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.