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Product Manager, Claude Code

Job in Seattle, King County, Washington, 98127, USA
Listing for: Anthropic
Full Time position
Listed on 2026-01-01
Job specializations:
  • Software Development
    AI Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 285000 - 305000 USD Yearly USD 285000.00 305000.00 YEAR
Job Description & How to Apply Below

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 evolution of the Claude Code product suite and help shape how developers work with AI. You will work closely with internal users and customers to prioritize their requirements and ship improvements to Claude Code. You will work closely with the engineering team, research team, and XFN teams to ensure Claude Code remains ahead of model capabilities and is seen as the best way to experience the most intelligent Claude models.

In just a few months since launch, Claude Code has already redefined how developers interact with AI. Yet we are only scratching the surface. We seek a product manager who combines deep technical understanding, genuine love for developers, and strong product intuition.

Responsibilities
  • Define the roadmap for an area of the Claude Code product suite
  • Translate cutting‑edge AI advances into practical developer features
  • Build an ecosystem around the CLI and other products so that developers can easily share best practices
Qualifications
  • Have a combined 5+ years in product management and engineering, including at least 1 year as a professional engineer.
  • Have a deep technical background with experience working cross‑functionally with engineering teams to ship technical products.
  • Track record of launching ambitious products that have achieved distribution or commercial success. Experience in dev tools is preferred.
  • Stay up‑to‑date and hands‑on with AI coding tools, model capabilities, and industry trends.
  • Have a creative, hacker spirit and love solving puzzles.
Compensation & Logistics

The expected base compensation for this position is below. Our total compensation package for full‑time employees includes equity, benefits, and may include incentive 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! However, we aren’t 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 you’re interested in this work.

About

Anthropic

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.

Inclusion

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.

We’re 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.

Guidance on Candidates’ AI Usage:
Learn about how to use AI in our application process.

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