Principal Product Manager, Docker

• 10+ years of product management experience, including 3+ years leading platform or infrastructure products at scale
• Proven success driving developer platform or cloud service products from concept to launch
• Deep understanding of cloud infrastructure, and AI/ML developer ecosystems
• Experience defining products that span control planes, data planes, and hybrid local/cloud environments
• Strong technical acumen with ability to partner closely with engineering on distributed systems, security, and API design
• Excellent communication skills with the ability to distill complex technical concepts into clear business narratives

Desirable

• Docker is building the next evolution of its developer platform: Docker Cloud, a unified, multi-cloud service that seamlessly connects local development with global-scale deployment
• At the center of this transformation is AI Cloud—a strategic product initiative designed to make AI development portable, secure, and scalable across local and cloud environments
• As Principal Product Manager for AI Cloud, you will define the product vision, strategy, and roadmap for Docker’s AI Cloud platform, bridging the innovations in Container-as-a-Service (CaaS), AI Gateway, and the Model Context Protocol (MCP) ecosystem
• You will lead efforts to bring AI-native workloads, containers, and developer tools into a cohesive, cloud-delivered experience that powers next-generation agentic applications
• This role is highly cross-functional and foundational to Docker’s future
• You’ll collaborate with executive leadership, engineering, design, and go-to-market teams to turn the Cloud Strategy into reality—building the connective tissue between Docker Desktop, Hub, and Cloud to serve millions of developers and thousands of enterprises
• Product Vision & Strategy
• Define the long-term vision for Docker AI Cloud as the unified layer that connects local and cloud development for AI workloads
• Translate Docker’s Cloud Strategy into concrete product investments across CaaS, AI Gateway, and MCP Platform, ensuring seamless interoperability between them
• Champion the developer experience—making AI infrastructure accessible, secure, and developer-first, whether running locally or in the cloud
• Partner with executive leadership to identify high-impact growth opportunities in AI infrastructure, governance, and hybrid runtime experiences
• AI Cloud Platform Development
• Define product requirements for Containers-as-a-Service (CaaS) capabilities that support AI and agentic workloads, including sandboxed execution, observability, and fast startup times
• Work closely with engineering to integrate AI Gateway capabilities—model routing, tool orchestration, and policy enforcement—into the Docker Cloud control plane
• Extend the MCP Platform into the cloud by enabling secure hosting, management, and governance of MCP servers and catalogs for enterprise use
• Drive BYOC (Bring Your Own Cloud) and enterprise deployment scenarios, ensuring Docker AI Cloud can operate flexibly across customer environments
• Ecosystem & Integration
• Partner with the MCP and Agents teams to make AI workflows frictionless—from local prototyping to cloud-scale execution—via consistent APIs and identity integration
• Define the product experience that connects Docker Hub, AI Gateway, and MCP Catalog, allowing developers to discover and run AI tools instantly
• Collaborate with data and infrastructure product teams to ensure integration with Docker’s observability, security, and governance frameworks
• Security, Governance & Enterprise Readiness
• Establish product direction for secure AI workloads, including secret management, sandbox isolation, and runtime policy enforcement
• Define enterprise governance capabilities: private catalogs, verified MCP servers, compliance telemetry, and audit reporting
• Partner with engineering and security leadership to implement real-time observability, usage analytics, and cost attribution systems
• Leadership & Influence
• Act as the cross-functional leader uniting AI, Cloud, and Platform teams around a coherent developer and enterprise experience
• Represent Docker externally as a thought leader in AI infrastructure, developer platforms, and containerized AI workloads
• Mentor product managers and collaborate across engineering and design to scale product excellence across AI and Cloud domains