Product Manager, Developer Productivity

Responsibilities

• Partner with Developer Productivity engineering teams to own the end-to-end developer experience—from the source control and language ecosystems that underpin our monorepo, to the build and CI infrastructure that keeps thousands of daily builds running reliably across multiple cloud providers, to the acceleration tooling that deeply integrates Claude into every engineer's workflow.
• Deeply understand the needs of internal customers across Research, Inference, Infrastructure, and Product—from researchers iterating on training code who need fast, reproducible builds to inference engineers managing compute-intensive toolchains with strict compatibility constraints.
• Define and iterate on the developer experience model: the workflows, tooling primitives, and feedback loops that govern how engineers and AI agents collaborate on code.
• Partner with engineering leads to design build, CI, and test infrastructure that scales non-linearly with engineering headcount.
• Drive product strategy and roadmap for developer acceleration, including AI-assisted code review, agent-driven test generation, automated dependency management, and the governance frameworks that let teams safely delegate work to autonomous systems.
• Own the trade-off framework between velocity, reliability, security, and cost—making transparent prioritization decisions about where to invest in human workflows versus agent workflows.
• Establish and champion the productivity metrics that matter in an AI-native engineering org—moving beyond commits and cycle time to measures that capture human-agent collaboration effectiveness, toil eliminated, and time-to-confident-ship.
• Build conviction about where developer tooling is headed on a 2–3 year horizon, and translate that into a roadmap that keeps Anthropic ahead of the exponential curve of AI-assisted development.

Requirements

• 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—credible discussing build graph optimization with engineers, developer velocity economics with leadership, and AI-agent governance with security teams
• A strong thesis on how AI will reshape software development

Nice-to-Haves

• 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)
• Familiarity with accelerator toolchain ecosystems (CUDA/GPU, TPU, or AWS Neuron/Trainium)
• Shipped AI-native developer tooling—code assistants, agent-based automation, or AI-integrated IDEs
• Scaled through hypergrowth in engineering-intensive environments (AI/ML, large-scale cloud infrastructure, or developer tools companies)
• Experience with internal platform adoption

Compensation & Benefits

• Annual Salary: $385,000—$595,000 USD
• Visa sponsorship available
• Location-based hybrid policy: staff expected to be in one of our offices at least 25% of the time