Anthropic
AI
ProductManager,DeveloperProductivity
“Product Manager, Developer Productivity at Anthropic. Skills: Product Management, Developer Productivity, AI-native Development, Platform Strategy, Roadmap Development. Own the end-to-end developer experience. Partner with Developer Productivity engineering teams”
What You'll Achieve.
Build the systems that determine how thousands of engineers and researchers at Anthropic develop, build, test, and ship code; Impact engineering velocity across the entire company; Define the abstractions for how code moves from idea to production; Establish the metrics that surface friction before it compounds; Make the trade-offs that keep a rapidly scaling engineering organization shipping with confidence; Make Anthropic the most productive place in the world to build frontier AI; Ensure that as Claude takes on more of the inner loop, the outer loop (review, validation, deployment) doesn't become the new bottleneck; Safely delegate work to autonomous systems; Achieve confident shipping in an AI-native engineering org; Keep Anthropic ahead of the exponential curve of AI-assisted development
Industry & Context.
Making trade-offs; Identifying and surfacing friction; Translating complex technical systems into a product vision
Currently, we expect all staff to be in one of our offices at least 25% of the time., Visa sponsorship is available but not guaranteed for every role/candidate.
What They're Looking For.
Must Have
7+ years of product management experience, with deep exposure to developer tooling, build systems, CI/CD, or platform infrastructure, Experience taking technical platform products from infancy to scale, Track record of building platform products that balance the needs of multiple engineering personas, Ability to internalize complex technical systems (build systems, monorepos, CI pipelines, accelerator toolchains) and translate that understanding into a comprehensive product vision, Fluent across functions, A thesis on how AI will reshape software development, Scrappy and resourceful
Nice to Have
Built or scaled developer productivity, build systems, or CI/CD platforms for large engineering organizations (e. g. , Bazel, Buck, large-scale monorepos, or custom build infrastructure)., Experience defining and operationalizing engineering productivity metrics (DORA, SPACE, or custom frameworks)—and a point of view on how these metrics evolve when AI agents are in the loop., Familiarity with accelerator toolchain ecosystems (CUDA/GPU, TPU, or AWS Neuron/Trainium) and the unique developer experience challenges of compute-intensive ML workloads., Shipped AI-native developer tooling—code assistants, agent-based automation, or AI-integrated IDEs—and understand the governance, trust, and adoption challenges that come with it., Scaled through hypergrowth in engineering-intensive environments (AI/ML, large-scale cloud infrastructure, or developer tools companies)., Experience with internal platform adoption
What You'll Do.
Own the end-to-end developer experience
Partner with Developer Productivity engineering teams
Define and own the strategy and roadmap across build systems
developer environments
accelerator toolchain management
and the AI-native acceleration layer
Deeply understand the needs of internal customers
Define and iterate on the developer experience model
Partner with engineering leads to design build
and test infrastructure
Drive product strategy and roadmap for developer acceleration
Own the trade-off framework between velocity
Establish and champion the productivity metrics that matter in an AI-native engineering org
Build conviction about where developer tooling is headed on a 2–3 year horizon
How You'll Work.
Team & Collaboration
Partner with Infrastructure, Inference, Research, and Product Engineering teams; Partner with Developer Productivity engineering teams; Partner with engineering leads; Collaborate with colleagues
Communication Scope
Communicating clearly to senior leadership; Communicating clearly to security teams; Communication skills
Process & Methodology
Roadmap Definition, Prioritization, Trade-off Analysis
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