Anthropic

2 months ago

Product Manager, Developer Productivity

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Product Manager focused on Developer Productivity partnering with Infrastructure, Inference, Research, and Product Engineering to shape the developer experience across build systems, CI/CD pipelines, and accelerator tooling. You’ll define strategy for a high-velocity AI-native engineering org, balancing velocity, reliability, security, and cost while enabling thousands of engineers and researchers to ship code faster with Claude-integrated tooling.

Location: San Francisco, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•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: workflows, tooling primitives, and feedback loops that govern how engineers and AI agents collaborate on code, including how we measure productivity when the unit of work is no longer a human typing
•Partner with engineering leads to design build, CI, and test infrastructure that scales with headcount, ensuring outer-loop activities (review, validation, deployment) don’t become bottlenecks
•Drive product strategy and roadmap for developer acceleration, including AI-assisted code review, agent-driven test generation, automated dependency management, and governance frameworks for autonomous systems
•Own the trade-off framework between velocity, reliability, security, and cost, and communicate prioritization decisions to leadership

Pay and Benefits

Salary: USD 385,000 - 595,000 annually

Perks:Paid LeaveParental Leave

Key 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 for internal or external engineering customers
•Track record of building platform products that balance velocity, reliability, and security and communicating trade-offs clearly
•Ability to internalize complex technical systems (build systems, monorepos, CI pipelines, accelerator toolchains) and translate into a product vision
•Strong cross-functional collaboration skills across engineering, security, and leadership

Experience:7+ yearsAI toolingDeveloper productivityCloud infrastructureEngineering tooling

Education:Bachelor's

Skills:DevOpsBuild systemsCI/CDCode reviewAI governanceAccelerator toolchainsGPU/TPU tooling

Languages:English

Tech Stack:CI/CDMonorepoGPUTPUTrainiumCUDACUDA/GPUCode review tooling

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn

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Anthropic

2 months ago

Product Manager, Developer Productivity

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•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: workflows, tooling primitives, and feedback loops that govern how engineers and AI agents collaborate on code, including how we measure productivity when the unit of work is no longer a human typing
•Partner with engineering leads to design build, CI, and test infrastructure that scales with headcount, ensuring outer-loop activities (review, validation, deployment) don’t become bottlenecks
•Drive product strategy and roadmap for developer acceleration, including AI-assisted code review, agent-driven test generation, automated dependency management, and governance frameworks for autonomous systems
•Own the trade-off framework between velocity, reliability, security, and cost, and communicate prioritization decisions to leadership

Pay and Benefits

Salary: USD 385,000 - 595,000 annually

Perks:Paid LeaveParental Leave

Key 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 for internal or external engineering customers
•Track record of building platform products that balance velocity, reliability, and security and communicating trade-offs clearly
•Ability to internalize complex technical systems (build systems, monorepos, CI pipelines, accelerator toolchains) and translate into a product vision
•Strong cross-functional collaboration skills across engineering, security, and leadership

Experience:7+ yearsAI toolingDeveloper productivityCloud infrastructureEngineering tooling

Education:Bachelor's

Skills:DevOpsBuild systemsCI/CDCode reviewAI governanceAccelerator toolchainsGPU/TPU tooling

Languages:English

Tech Stack:CI/CDMonorepoGPUTPUTrainiumCUDACUDA/GPUCode review tooling

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn