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. 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 The base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. $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 may not sponsor for every role or candidate. If we make you an offer, we will make reasonable efforts to obtain a visa, with the assistance of an immigration lawyer. We encourage you to apply even if you do not 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, and we strive to include 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 a few large-scale research efforts and value impact—advancing our long-term goals of steerable, trustworthy AI—over smaller, narrower puzzles. We view AI research as an empirical science and value strong communication skills as part of our collaborative culture. The easiest way to understand our research directions is to read our recent work, which continues many directions our team pursued 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 collaborative office environment. We encourage applicants to review our policies and approach to AI usage during the application process.
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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 The base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. $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 may not sponsor for every role or candidate. If we make you an offer, we will make reasonable efforts to obtain a visa, with the assistance of an immigration lawyer. We encourage you to apply even if you do not 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, and we strive to include 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 a few large-scale research efforts and value impact—advancing our long-term goals of steerable, trustworthy AI—over smaller, narrower puzzles. We view AI research as an empirical science and value strong communication skills as part of our collaborative culture. The easiest way to understand our research directions is to read our recent work, which continues many directions our team pursued 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 collaborative office environment. We encourage applicants to review our policies and approach to AI usage during the application process.
#J-18808-Ljbffr