Senior Principal Product Manager, AI & Agent Platform

Docker·United StatesRemotesenior$25,000–$28,333 USD/mo

In short

→Liderar desde cero el desarrollo de una plataforma de IA y agentes para desarrolladores, enfocada en entornos seguros y ejecución confiable.
→Trabajar en equipo pequeño y ágil, construyendo, probando y mejorando iterativamente productos desde el primer prototipo.
→Oportunidad única en una empresa líder, con un producto emergente (Docker Sandboxes) que ya muestra gran crecimiento.

Fluent English required for collaboration across global teams.

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What they ask for

✓Experiencia comprobada en gestión de producto para herramientas de desarrollo o infraestructura.
✓Capacidad para construir desde cero productos en entornos de alta incertidumbre.
✓Conocimiento profundo del ecosistema de IA agente y desarrollo de software.
✓Habilidades sólidas para definir estrategia, roadmap y métricas de éxito.
✓Experiencia colaborando con ingenieros, diseñadores y equipos de go-to-market.
✓Capacidad para trabajar en entornos remotos y distribuidos, con autonomía y rigor.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Docker DesktopDocker HubDocker ScoutContainersAI AgentsSecure Execution EnvironmentsTool ConnectivityModel AccessGovernance ControlsObservability

Who should you write to at Docker?

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Compensation: $300K – $340K • Offers Equity. Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. AI agents are changing how everyone works — not just developers writing code, but entire organizations building, deploying, and operating software. Agents are becoming teammates: they write code, run tests, manage infrastructure, analyze data, and automate workflows across every function. Docker is building a new platform from scratch to make this real — secure execution environments, agent-to-tool connectivity, governance controls, and the infrastructure that lets agents and humans collaborate safely at enterprise scale. This is a 0-to-1 role. You will define the product strategy and own the roadmap for a new platform that sits at the intersection of AI, containers, and developer experience. You will work with a small, high-velocity team spanning engineering, design, and go-to-market to figure out what to build, ship it, learn from it, and iterate. The early signal is already in market — Docker Sandboxes is one of the fastest-growing new products in Docker’s history — and the opportunity ahead is much larger. We are looking for someone who builds, not just plans. You should be comfortable prototyping, getting your hands dirty with early product iterations, and improvising when things don’t go as expected. The right candidate has shipped developer tools or infrastructure products, understands how the agentic AI ecosystem is evolving, and thrives in the ambiguity of building something genuinely new. 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. 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. 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. Engage directly with developers, enterprises, and

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