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Product Manager, Claude Code (Enterprise)

Anthropic, Seattle, Washington, us, 98127

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About 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 As a Product Manager for Claude Code, you will drive the adoption of Claude Code in the enterprise with the goal of making Claude Code the most widely used and trusted product for professional engineers to get work done. You will own working closely with our enterprise customers, understand their requirements, and build features that unlock adoption and that increase Claude Code’s utility.

In just a few months since launch, Claude Code has already redefined how developers interact with AI. Yet we are only scratching the surface. As model intelligence accelerates, the ultimate form factor of agentic software development remains unwritten. We seek a product manager who combines deep technical understanding, genuine love for developers, strong product intuition, and passion for making enterprises successful. You should be equally comfortable discussing customer feedback with world-class researchers, debugging user workflows with engineers, and presenting product strategy to executives.

Responsibilities

Define and execute the product vision and strategy to make Claude Code accessible and valuable to enterprise users

Identify and prioritize key features that drive sustainable business growth

Own pricing, packaging, and enterprise go-to-market strategy

You Might Be a Good Fit If You

Have combined 5+ years in product management, with experience launching new products and scaling existing technical products.

Possess a deep technical background with experience working cross-functionally with engineering teams to ship technical products. A data-driven mindset with Python and SQL working proficiency is a must.

Have a track record of launching ambitious products that have achieved distribution or commercial success with enterprise customers.

Stay up-to-date and hands-on with emerging research and industry trends

Have a creative, hacker spirit and love solving puzzles

Compensation Annual Salary: $285,000—$305,000 USD

Logistics Education requirements:

We require at least a Bachelor's degree in a related field or equivalent experience.

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. 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. We think AI systems like the ones we're building have enormous social and ethical implications, so 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 from @anthropic.com email addresses. 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 you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How We're 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. 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. We are highly collaborative and value strong communication skills.

The easiest way to understand our research directions is to read our recent work. This research continues many 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.

Join 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 collaborative office space. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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