Docker - Principal Product Manager, AI Gateway
Requirements
• 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. • Shape model access and interoperability. • Define enterprise safety and governance experiences. Translate requirements for identity, access management, credential protection, policy enforcement, and auditability into clear, usable capabilities. • Define enterprise safety and governance experiences. • 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. • Guide reliability and cost-management decisions. • 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. • Drive execution and launches. • 10+ years of product management experience, with experience building developer tools, infrastructure, security, or platform products. • 10+ years of product management experience • Demonstrated success taking a product from concept to launch, including validating customer demand, defining the initial scope, and driving adoption after release. • Demonstrated success taking a product from concept to launch • 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. • Strong technical background • 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. • Hands-on experience with AI tools and agent workflows • Strong product judgment and analytical skills, with examples of using customer research and product data to prioritize investments and measure results. • Strong product judgment and analytical skills • 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. • Excellent written communication and cross-functional leadership • Docker does not offer visa sponsorship for this role.
Responsibilities
• 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.
Benefits
• United States: $280,000 – $300,000 + equity • United States: • ______________________________________________________________________ • Open vacancy: This posting is for an existing open role. • Open vacancy: • AI in hiring: Docker may use AI-assisted tools during our recruiting process. • AI in hiring: • 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. • Interview recordings: • Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. • Remote-first by design • Flexibility that fits your life – We trust you to manage your schedule while delivering great work. • Flexibility that fits your life • Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. • Time to recharge • Technology stipend – Equivalent to US$100 net per month to help support your work. • Technology stipend • US$100 net per month • Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. • Learning & development • Parental leave – 16 weeks of paid parental leave after six months of employment. • Parental leave • Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. • Equity for all full-time employees • Comprehensive benefits – Medical, retirement, and paid holidays vary by country. • Docker swag – Because representing the whale never gets old. • Docker swag
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