Principal Product Manager, AI Gateway

Docker is seeking a Principal Product Manager for the AI Gateway to make secure model access a seamless part of the sandboxed agent experience. The role owns the gateway's product direction, balancing choice and interoperability with governance, reliability, and cost, and partners closely with the Sandboxes team, engineering, design, and customers. Visa sponsorship is not available for this role. Base compensation for United States: $280,000 – $300,000. Final compensation depends on factors including experience, skills, qualifications, and location.

Responsibilities

Own product strategy and prioritization, defining the vision, roadmap, and success measures for the gateway; Understand developers and enterprise customers by working directly with developers, AI teams, platform engineers, and security stakeholders; Make secure onboarding simple, improving 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 by partnering with engineering and design on APIs, CLI tools, administration experiences, documentation, and integrations with AI coding tools; Shape model access and interoperability by working with inference providers on capabilities, integrations, capacity, reliability, and pricing; Define enterprise safety and governance experiences for identity, access management, credential protection, policy enforcement, and auditability; Guide reliability and cost-management decisions, including traffic balancing, routing, fallback strategies, usage visibility, budgets, and spend optimization; Drive execution and launches by writing product requirements, making explicit tradeoffs, and partnering with customer-facing teams on positioning, onboarding, and release readiness

Requirements

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, with the ability to 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

Benefits

Remote-first by design, with offices in Seattle and Paris; Flexible schedule; Generous PTO, quarterly Whaleness Days, and an end-of-year Whaleness break; Home office support; Technology stipend equivalent to US$100 net per month; Annual learning and development stipend for conferences, courses, certifications, and continued learning; 16 weeks of paid parental leave after six months of employment; Equity for all full-time employees; Comprehensive benefits including medical, retirement, and paid holidays, which vary by country; Docker swag