Senior Principal Product Manager, AI & Agent Platform

Responsibilities

• Own the product strategy, vision, roadmap, and success metrics for Docker’s AI & Agent Platform, making tradeoff decisions on what to build.
• Build the platform from zero: write first specs, prototype with engineering, validate with customers, and iterate rapidly.
• Drive products from conception through delivery: write requirements, scope and prioritize with engineering, ship iteratively, and measure outcomes.
• Define how the agentic ecosystem fits together, including secure execution, tool connectivity, model access, governance, and observability.
• Ensure the platform serves developers, platform teams, and enterprise operators.
• Define intuitive developer experiences across CLI, IDE, and CI pipelines.
• Collaborate cross-functionally for coherent product experiences and GTM alignment.
• Partner with engineering leadership on architecture decisions and technical tradeoffs.
• Engage directly with customers and partners to represent their voice in product decisions.
• Overcome blockers and find paths forward in ambiguous situations.

Qualifications

• 10+ years of product management experience, with at least 5 years on developer tools, infrastructure, or platform products.
• Deep technical fluency: able to read architecture diagrams, understand container/VM runtimes, AI agents, LLMs, and tool connectivity protocols.
• Proven ability to ship 0-to-1 products in fast-moving environments.
• Builder mentality: prototype, sketch architectures, test early ideas with customers.
• Strong product sense and UX instincts, especially for developer experience (API design, CLI, error messages).
• Strategic thinking paired with execution follow-through; able to set multi-year vision and write next-sprint specs.
• Comfort with ambiguity in a fast-evolving space.
• Excellent communication skills across product briefs, executive presentations, and technical debates.
• Experience growing and monetizing products to scale, including pricing, packaging, and GTM.

Nice-to-Haves

• Experience in 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.

What You’ll Work With

• Secure, isolated execution environments (microVMs, containers, sandboxing).
• Agent-to-tool connectivity and protocol standards (MCP and beyond).
• AI model serving and inference infrastructure.
• Governance, policy enforcement, and audit controls.
• Local-to-cloud execution and workload portability.
• Developer CLIs, SDKs, and platform APIs.
• Container runtimes, image registries, and build systems.