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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.
Job Responsibility:
Build and Scale the AI Developer Tools Team
Ship AI-Powered Developer Tools
Build Self-Service AI Developer Tools Platform
Drive Platform Adoption and Developer Experience
Partner on AI Strategy and Technology
Explore Productization Opportunities
Deliver Measurable Impact
Cross-Functional Collaboration
Operational Excellence
Team Development and Culture
Requirements:
5+ years managing high-performing engineering teams, with demonstrated experience hiring, developing, and retaining diverse technical talent
experience building teams from scratch highly valued
5+ years as a software developer with hands-on experience building developer tools, platform engineering systems, DevOps, or SRE infrastructure
Strong understanding of AI/ML technologies, LLM integration patterns, and practical applications of AI in developer workflows
hands-on experience building AI-powered tools or agents preferred
Track record of building platforms or internal tools that enable other teams and measurably improve developer productivity
Deep technical knowledge of modern cloud-native infrastructure including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines
Experience with infrastructure-as-code frameworks (Terraform, Pulumi) and cloud platforms (AWS, GCP, Azure)
Product mindset with ability to envision how internal tools can become commercial offerings
experience with productization of internal platforms a plus
Strong verbal and written communication skills with ability to influence cross-functional stakeholders, evangelize platform adoption, and partner with product and go-to-market teams
Comfortable with autonomous work, ambiguity, and building in uncharted territory
proven ability to define roadmaps and priorities from first principles
Passion for developer experience, AI innovation, and creating leverage through platform thinking
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Nice to have:
experience building teams from scratch highly valued
hands-on experience building AI-powered tools or agents preferred
experience with productization of internal platforms a plus
What we offer:
Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan
Training stipend for conferences, courses and classes
Equity
Docker Swag
Medical benefits, retirement and holidays vary by country