Senior Principal Product Manager, AI & Agent Platform

Responsibilities

• Own the product strategy.
  • Define the vision, roadmap, and success metrics for Docker’s AI & Agent Platform.
    • Make hard tradeoff decisions about what to build, what to defer, and what to cut.
• Build from zero.
  • This is a new platform. You will define the product from the ground up — writing the first specs, prototyping with engineering, validating with customers, and iterating rapidly based on what you learn.
• Drive from conception through delivery.
  • Write requirements, work with engineering to scope and prioritize, ship iteratively, and measure outcomes.
    • You don’t hand off specs and wait — you are in the details.
• Define how pieces of the agentic ecosystem fit together.
  • Agents need secure execution, tool connectivity, model access, governance, and observability. You will define how these capabilities compose into a coherent platform — and where Docker’s boundaries are.
• Think beyond developers.
  • Agents are becoming essential for everyone who builds, deploys, and operates software. You will ensure the platform serves the full range of people who need agents to succeed — from individual developers to platform teams to enterprise operators.
• Define the developer experience.
  • You will work with design and engineering to ensure that our AI products are intuitive, powerful, and meet people where they are — whether in the CLI, IDE, or CI pipeline.
• Collaborate across Docker.
  • You will work cross-functionally to ensure coherent product experiences and go-to-market alignment.
• Influence technical direction.
  • You will partner with engineering leadership on architecture decisions. You don’t need to write the code, but you need to understand the technical tradeoffs and have informed opinions about them.
• Represent the customer.
  • You will engage directly with developers, enterprises, and partners. Bring their voice into every product decision.
• Overcome blockers.
  • When something is in the way — a missing integration, an unclear market signal, a technical constraint — you figure out a path forward. You don’t wait for someone else to solve the problem.

Qualifications

• Experience. 10+ years of product management experience, with at least 5 years on developer tools, infrastructure, or platform products.
• Deep technical fluency. You can read an architecture diagram, understand container and VM runtimes, and have a working knowledge of how AI agents, LLMs, and protocol-level tool connectivity work. You don’t need to be a hypervisor engineer, but you need to hold your own with one.
• Proven ability to ship 0-to-1 products. You have taken a product from idea through launch in a fast-moving environment. You know how to operate when there is no playbook.
• Builder mentality. You prototype, you sketch architectures, you test early ideas with customers before the spec is done. You are a doer, not just a thinker.
• Strong product sense and UX instincts. You care about the developer experience at a deep level — from API design to CLI ergonomics to error messages.
• Strategic thinking with execution follow-through. You can set a multi-year vision and also write the spec for what ships next sprint.
• Comfort with ambiguity. This space is new and moving fast. You thrive when the answer isn’t obvious and you have to go find it.
• Excellent communication. You can write a crisp product brief, present to executives, and debate technical tradeoffs with engineers — all in the same day.
• Experience growing and monetizing products at scale. You have been part of taking a product from early adoption to meaningful revenue, and you understand the pricing, packaging, and go-to-market decisions that make that happen.

Bonus Points

• Experience building products in the containers, cloud-native, or DevOps space.
• Experience with AI/ML developer tooling or the agentic AI ecosystem.
• Contributions to open source projects.
• Experience building and scaling a business from zero to significant ARR.