Product Manager, Developer Productivity

About Anthropic

Anthropics 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

As a Product Manager focused on Developer Productivity youll partner with Infrastructure Inference Research and Product Engineering to build the systems that determine how thousands of engineers and researchers at Anthropic develop build test and ship codethe foundation on which every model evaluation and product feature depends:

• Partner with Developer Productivity engineering teams to own the end-to-end developer experiencefrom 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 engineers workflow.
• Your work directly impacts engineering velocity across the entire company: defining the abstractions for how code moves from idea to production establishing the metrics that surface friction before it compounds and making the trade-offs that keep a rapidly scaling engineering organization shipping with confidence.
• Youll drive the evolution of our developer platform through a fundamental shift in how software gets builtas AI agents move from autocomplete to autonomous collaborators the definition of developer is changing and our tooling governance and workflows must change with it. Youll be defining what developer productivity means when a meaningful share of code is written tested and reviewed by Claude itself.
• You will define and own the strategy and roadmap across build systems CI/CD pipelines developer environments accelerator toolchain management (GPU TPU Trainium) and the AI-native acceleration layer that makes Anthropic the most productive place in the world to build frontier AI.

Responsibilities:

• Deeply understand the needs of internal customers across Research Inference Infrastructure and Productfrom 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 codeincluding 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 non-linearly with engineering headcountensuring that as Claude takes on more of the inner loop the outer loop (review validation deployment) doesnt become the new bottleneck.
• 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 costmaking transparent prioritization decisions about where to invest in human workflows versus agent workflows and communicating them clearly to senior leadership.
• Establish and champion the productivity metrics that matter in an AI-native engineering orgmoving 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 23 year horizon and translate that into a roadmap that keeps Anthropic ahead ofnot reacting tothe exponential curve of AI-assisted development.

You may be a good fit if you 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 scaleyouve built something from the ground up and grown it to serve demanding internal or external engineering customers
• Track record of building platform products that balance the needs of multiple engineering personasyoure comfortable making prioritization trade-offs between velocity reliability and security and communicating them clearly
• Ability to internalize complex technical systems (build systems monorepos CI pipelines accelerator toolchains) and translate that understanding into a comprehensive product vision
• Fluent across functionsyoure equally 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 developmentyouve thought deeply about what changes when agents write review and ship meaningful portions of a codebase and youre energized by defining the tooling for that world rather than waiting for it to arrive
• Scrappy and resourcefulyou do what it takes to get things done in a fast-moving environment

Strong candidates may 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 toolingcode assistants agent-based automation or AI-integrated IDEsand 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 adoptionyou know that the best internal tool is the one engineers actually use and youve driven adoption through product quality rather than mandate.

Logistics

Minimum education: Bachelors degree or an equivalent combination of education training and/or experience

Required field of study:A field relevant to the role as demonstrated through coursework training or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently we expect all staff to be in one of our offices at least 25% of the time. However some roles may require more time in our offices.

Visa sponsorship:We do sponsor visas! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policy for using AI in our application process.