Engineering Manager, Claude Code

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:

At Anthropic, we believe new AI capabilities are best achieved through secure foundations, not in spite of them. As capabilities grow more advanced, it is critical that progress moves forward safely and for the benefit of all society. It is the reason why security sits at the center of our work, and not as an afterthought. 

We're specifically looking for an Engineering Manager to help us scale the Claude Code team. The ideal candidate loves to use Claude Code, has management experience, and still codes every day. This role requires someone who combines deep and broad technical know-how with leadership experience.

Responsibilities:

• Design, build, and maintain core features across Claude Code's full stack. Spend the majority of effort writing and reviewing code
• Lead and develop the Seattle engineering team, including hiring, performance management, career development, and fostering team culture
• Partner with the SF engineering manager to facilitate cross-team alignment, coordinate execution across distributed engineering efforts, and ensure clear communication of technical decisions and priorities
• Prioritize and develop capabilities that address common enterprise customer needs across multiple use cases, ensuring feature investments deliver broad value. Partner with customers to understand their needs
• Work closely with researchers, product managers, and designers to translate user needs and research insights into robust technical solutions
• Stay deeply connected to the developer experience by actively using Claude Code, engaging with both internal and external users, and maintaining expertise in modern development environments, tools, and workflows
• Ensure high code quality, robust testing, and scalable architecture across all team deliverables while balancing rapid iteration with long-term maintainability and security requirements. Tend to the team's developer experience by maintaining clean development workflows, simple onboarding, and efficient paths from development to production

You may be a good fit if you:

• Have 5+ years of software engineering experience, including 2+ years in engineering management or technical leadership roles
• Excel at both writing production code and leading engineering teams, with experience shipping complex features from concept to deployment
• Bring strong technical skills across modern web technologies, cloud infrastructure, and distributed systems
• Have experience working with enterprise customers and translating their needs into scalable product features
• Thrive in ambiguous, fast-paced environments and can balance multiple priorities while maintaining team focus
• Are passionate about developer tools and have deep familiarity with IDEs, development workflows, and what makes engineers productive
• Value both technical excellence and pragmatic delivery, knowing when to build for the long term vs. ship quickly

Strong candidates may also have experience with:

• Project management for extremely fast-moving projects
• Mentoring junior team members
• Leading cross-functional initiatives with demonstrated influence across organizational boundaries
• Public speaking or presenting technical content
• Client-facing communication
• Building widely-used tools for software development, especially CLIs
• Implementing continuous improvement processes
• Performance optimization and troubleshooting
• Evaluating and testing new technologies and coding products
• Working effectively within expanding organizational frameworks

This is an opportunity to shape the future of AI-driven development tools while working alongside top engineers and researchers in the field.

The expected salary range for this position is:

Annual Salary:$405,000—$485,000 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. 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.