Technical Program Manager, API Platform

Anthropic•San Francisco, CA

2d•$365,000 - $435,000•Hybrid

About The Position

Anthropic's API is the foundation that customers, developers, and our own products build on, and it is scaling fast. We're hiring a Technical Program Manager to drive the scaling and core efficiency programs for the API stack, working at the intersection of the API and the infrastructure it runs on (compute, databases, networking, and inference). Today this work spans many teams and many simultaneous programs, with no single person focused on cohesion across them. You'll be the center: the person who connects isolated workstreams into one coherent roadmap, makes cross-org dependencies visible before they become blockers, and creates clarity on who owns which decisions. Success looks like an API stack that scales efficiently and predictably, with programs that land because someone is accountable for the whole picture.

Requirements

7+ years of technical program management experience, with a track record of successfully delivering complex, cross-functional programs
Experience with API platforms, distributed systems, and core infrastructure programs and can engage meaningfully with the engineers who design and operate them
Driven scaling, performance, or efficiency programs for high-volume production systems, including the tradeoffs across performance, reliability, and cost
Coordinated programs spanning many partner organizations, managing cross-team dependencies, commitments, and escalations at the working level
Highly organized and can manage multiple parallel workstreams effectively across distributed teams
Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations, including where decision ownership is unclear
Excellent written and verbal communication skills, with the ability to influence without authority
Passionate about Anthropic's mission and interested in the challenges of operating AI infrastructure safely and reliably

Responsibilities

Drive scaling and core efficiency programs for the API stack from architectural direction through sequenced, deliverable execution
Run multiple large programs simultaneously across infrastructure, networking, and the API layer
Act as the connective tissue between API, infrastructure, database, networking, and inference teams, owning cross-org dependencies end to end
Establish decision-making clarity: who owns what, where trade-offs get made, and how isolated streams roll up into one program view
Surface risks, progress, and trade-offs to engineering leadership with the right altitude and cadence