Docker seeks to revolutionize how developers build software by establishing a greenfield team at the intersection of AI and developer experience, building cutting-edge AI-powered developer tools and creating a platform that enables teams to rapidly prototype, deploy, and scale their own AI developer tools.
Requirements
- 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
- 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)
- 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
- Track record of building platforms or internal tools that enable other teams and measurably improve developer productivity
- Product mindset with ability to envision how internal tools can become commercial offerings; experience with productization of internal platforms a plus
Responsibilities
- Build and Scale the AI Developer Tools Team: Hire, onboard, and develop a high-performing engineering team from the ground up with expertise in AI/LLM integration, platform engineering, and developer experience; establish team culture, technical standards, and operating norms
- Ship AI-Powered Developer Tools: Deliver production-ready AI agents for developer productivity (automated PR reviews, code generation, documentation), observability insights (anomaly detection, root cause analysis), and operational automation (deployment pre-reviews and failure investigations, incident response assistance)
- Build Self-Service AI Developer Tools Platform: Create and operate the foundational infrastructure that enables teams across Docker to build, deploy, host, and scale their own AI developer tools including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, cost management, and operational tooling
- Drive Platform Adoption and Developer Experience: Establish the AI Developer Tools platform as the default path for teams building AI-powered tooling; deliver self-service capabilities, comprehensive documentation, templates, and best practices that reduce time-to-production from weeks to days
- Partner on AI Strategy and Technology: Work closely with engineering leadership and Agent Dev technical leadership to align on AI technology choices, architectural patterns, and integration strategies; stay current on LLM advancements and developer tooling trends
- Explore Productization Opportunities: As internal AI developer tools demonstrate value, partner with product management and go-to-market teams to evaluate commercial viability; prototype, validate, and transition successful internal tools into customer-facing product offerings
- Deliver Measurable Impact: Define and track success metrics for both AI developer tools (adoption rates, productivity gains, time saved) and platform capabilities (time-to-deploy new tools, number of teams using platform, operational efficiency)
Other
- 5+ years managing high-performing engineering teams, with demonstrated experience hiring, developing, and retaining diverse technical talent; experience building teams from scratch highly valued
- 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
- 16 weeks of paid Parental leave
