Principal Product Manager, AI Gateway

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.

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Docker helps developers build, share, and run software with confidence. As AI agents take on more of the development workflow, we’re extending that mission: giving developers the freedom to work with powerful agents in sandboxed environments, with the isolation and controls organizations need to adopt them safely.

We’re looking for a Product Manager, AI Gateway to help make secure model access a seamless part of that experience. Sandboxes establish boundaries around where agents execute; the gateway addresses how those agents connect to AI models. You’ll shape experiences that make it easy to get started while giving organizations control over model access, credentials, sensitive data, and usage.

This role is about making safety and developer productivity reinforce each other. You’ll partner closely with the Sandboxes team, engineering, design, and customers to turn complex infrastructure and security requirements into intuitive workflows, from a developer’s first sandboxed agent session to organization-wide adoption. You’ll own the gateway’s product direction, balancing choice and interoperability with governance, reliability, and cost.

• Own product strategy and prioritization. Define the vision, roadmap, and success measures for the gateway, balancing developer adoption with enterprise requirements.

• Understand developers and enterprise customers. Work directly with developers, AI teams, platform engineers, and security stakeholders to uncover needs, validate solutions, and guide investment.

• Make secure onboarding simple. Improve the journey from launching a sandbox and authenticating to connecting an agent, selecting a model, and completing the first useful task.

• Build a cohesive developer experience. Partner with engineering and design on APIs, CLI tools, administration experiences, documentation, and integrations with AI coding tools.

• Shape model access and interoperability. Work directly with inference providers to evaluate model capabilities, plan integrations, and align on capacity, reliability, and pricing. Prioritize model discovery and compatibility so customers can adopt new models without unnecessary integration work.

• Define enterprise safety and governance experiences. Translate requirements for identity, access management, credential protection, policy enforcement, and auditability into clear, usable capabilities.

• Guide reliability and cost-management decisions. Define traffic balancing, routing, and fallback strategies across multiple inference providers, balancing model quality, latency, availability, and cost. Own inference cost-management priorities, including usage visibility, budgets, and spend optimization.

• Drive execution and launches. Write focused product requirements, make explicit tradeoffs, and partner with customer-facing teams on positioning, onboarding, release readiness, and continuous learning.

• 10+ years of product management experience, with experience building developer tools, infrastructure, security, or platform products.

• Demonstrated success taking a product from concept to launch, including validating customer demand, defining the initial scope, and driving adoption after release.

• Strong technical background, through software engineering experience or ownership of deeply technical products. You can evaluate API designs, understand system architecture, and make informed tradeoffs with engineering.

• Hands-on experience with AI tools and agent workflows, and an informed perspective on the challenges of giving agents secure access to models, tools, and data.

• Strong product judgment and analytical skills, with examples of using customer research and product data to prioritize investments and measure results.

• Excellent written communication and cross-functional leadership, with a track record of aligning engineering, design, and go-to-market teams around a clear strategy and delivering in ambiguous, fast-moving environments.

Docker does not offer visa sponsorship for this role.

Compensation & Equity

United States: $280,000 – $300,000 + equity

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• Open vacancy: This posting is for an existing open role.

• AI in hiring: Docker may use AI-assisted tools during our recruiting process.

• Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.

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• Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.

• Flexibility that fits your life – We trust you to manage your schedule while delivering great work.

• Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.

• Home office support – Set up your workspace for comfort and success.

• Technology stipend – Equivalent to US$100 net per month to help support your work.

• Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.

• Parental leave – 16 weeks of paid parental leave after six months of employment.

• Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.

• Comprehensive benefits – Medical, retirement, and paid holidays vary by country.

• Docker swag – Because representing the whale never gets old.

Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.

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