Technical Program Manager, API Platform
AnthropicAbout 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
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.
Responsibilities
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Drive scaling and core efficiency programs for the API stack from architectural direction through sequenced, deliverable execution
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Run multiple large programs simultaneously across infrastructure, networking, and the API layer
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Act as the connective tissue between API, infrastructure, database, networking, and inference teams, owning cross-org dependencies end to end
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Establish decision-making clarity: who owns what, where trade-offs get made, and how isolated streams roll up into one program view
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Surface risks, progress, and trade-offs to engineering leadership with the right altitude and cadence
You may be a good fit if you
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Have 7+ years of technical program management experience, with a track record of successfully delivering complex, cross-functional programs
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Have experience with API platforms, distributed systems, and core infrastructure programs and can engage meaningfully with the engineers who design and operate them
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Have driven scaling, performance, or efficiency programs for high-volume production systems, including the tradeoff