Docker Principal Product Manager, AI Gateway at Docker leads product strategy for secure AI model access in sandboxed environments. This role balances developer productivity with enterprise security and governance requirements.
Responsibilities
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.
Qualification
Strong technical background
Required
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.
