At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! Docker seeks a Senior Manager of Engineering to build and lead a new AI Developer Tools team that will revolutionize how developers build software—both internally at Docker and for our customers worldwide. This is a rare opportunity to establish a greenfield team at the intersection of AI and developer experience, where you'll build cutting-edge AI-powered developer tools and create the platform that enables teams across Docker to rapidly prototype, deploy, and scale their own AI developer tools. Your team will own two critical mandates Build AI-Powered Developer Tools: Create and ship innovative AI agents and tools that accelerate developer productivity, provide observability insights, and automate operational reviews. Build tools and programs that make it easier for teams to adopt an AI-native mindset and accelerate adoption and usage of AI developer tools such as Claude Code, Cursor, Warp, or other AI tools as they gain traction within Docker teams. Your team will build tools such as AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call tasks when handling incidents. These tools will directly impact how Docker's engineers build, deploy, and operate services powering 20 million users. Enable Self-Service AI Developer Tools Platform: Build the foundational infrastructure and self-service capabilities that empower product and platform teams across Docker to unblock themselves by rapidly prototyping, building, and deploying their own AI developer tools. Teams will be able to experiment with AI solutions for their unique pain points without waiting for centralized platform teams, iterate quickly on tool ideas, and graduate successful prototypes into production-ready services. The result: development teams ship capabilities to customers faster, operations teams spend less time firefighting, and engineering velocity compounds across the organization. As these internal AI developer tools demonstrate value and gain traction, you'll partner with product leadership to explore productization opportunities—transforming proven internal tools into new commercial offerings for Docker's customers. Reporting to the Director of Platform Infrastructure & AI Developer Tools, you'll work closely with engineering leadership across Docker, product engineering teams, platform teams, and ultimately customers as internal tools evolve into product offerings. What Would Make Someone Successful in This Role You're energized by the intersection of AI, developer experience, and platform engineering. You've built teams before and have a track record of shipping developer-facing tools or platforms that engineers love to use. You think in terms of platforms and leverage—building once and enabling dozens of teams to move faster. You understand AI technology deeply enough to separate signal from noise, making pragmatic decisions about when to build custom solutions versus integrating existing tools. You have a product mindset for internal tooling and can envision how today's internal experiments become tomorrow's commercial offerings. You thrive in ambiguity, building roadmaps from first principles while staying grounded in real developer pain points. Most importantly, you know how to attract exceptional engineers, build team culture from scratch, and create an environment where innovation thrives.