Product Manager, Claude Code

Product Manager, Claude Code 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. 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, and strong product intuition. 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 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 You Might Be a Good Fit If You: 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. 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. We think AI systems like the ones we're 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. 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. 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. 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.