Docker - Staff Product Manager, Infrastructure & AI Dev Tools (Seattle, WA / West Coast Preferred)
Requirements
• 10+ years of product management experience, with 4+ years at Staff level or above. • Proven track record building and scaling platform, infrastructure, or developer-tooling products that enable other teams or developers at high-growth technology companies. • Strong technical acumen: able to engage credibly in architecture and trade-off discussions across Kubernetes, CI/CD, networking, APIs, and observability. • Deep understanding of platform-as-a-product principles: self-service, golden paths, developer experience, adoption over mandate, and internal customer success. • Fluency with where AI and agentic workflows are heading, including hands-on familiarity with LLM-powered tooling or AI agents, and good judgment about where automation belongs. • Excellent stakeholder management and the ability to influence without authority across a technical organization. • Strategic thinking that balances long-term platform vision with near-term team needs and business objectives. • Clear written and verbal communication suited to a remote-first environment. • Preferred • Prior experience as an infrastructure, platform, or developer-tools PM at a B2B SaaS or developer-tools company. • Background in a technical role such as software engineering, SRE, solutions architecture, or technical product management. • Familiarity with cloud-native infrastructure (multi-tenant Kubernetes or EKS, multi-region networking, Terraform and GitOps, progressive delivery) and observability (Prometheus, Grafana, OpenTelemetry). • Track record productizing internal platforms or tools into commercial offerings • Understanding of enterprise requirements such as security, compliance, and audit needs. • What to Expect • First 15 Days • Build relationships with engineering leaders, principal and staff engineers, Security, and the product teams who depend on the platform. • Map the current landscape across both halves of the organization: infrastructure and self-service maturity, CI/CD state, the AI tooling already in production, and the biggest sources of toil and friction. • Review existing roadmaps and technical documentation to identify quick wins and longer-term opportunities. • First 45 Days • Publish an integrated product strategy and roadmap spanning the internal platform and AI dev tools, with clear priorities and success metrics. • Establish lightweight consultation and intake processes so teams understand platform capabilities, constraints, and how to plug in. • Deliver an early win that unblocks teams or demonstrates value from a platform or AI tooling investment, and define the instrumentation to measure adoption and impact. • One Year Outlook (First Year) • Become the trusted product advisor for infrastructure and developer tooling across Docker, with measurable improvements in provisioning and deployment speed, self-service adoption, and reduced toil. • Lead an integrated roadmap that pairs durable platform foundations, for example self-service provisioning, multi-region networking, and paved-road delivery, with AI-native capabilities that change how Docker engineers build and operate. • Take at least one internal capability through the path to a customer-facing offering, partnering with product and go-to-market teams. • Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our company will be. • Docker does not offer visa sponsorship for this role.
Responsibilities
• Platform and AI Dev Tools Strategy and Roadmap • Define and execute the long-term product strategy for Docker's internal developer platform and AI developer tooling, spanning infrastructure, self-service, CI/CD, and AI-powered and agentic workflows. • Drive an integrated roadmap that balances foundational platform investments with the AI-native capabilities that differentiate Docker. • Align platform and tooling strategy with Docker's business objectives and product portfolio, in partnership with engineering and executive leadership. • Platform as a Product and Self-Service • Treat the internal platform as a product: define golden paths, paved roads, and self-service capabilities that let teams provision, deploy, observe, and operate with minimal friction and strong guardrails. • Establish clear contracts, defaults, and documentation, and drive adoption through measurable outcomes rather than mandate. • Partner with infrastructure teams to translate reliability, scale, networking, and cost priorities into a roadmap teams can trust. • AI and Agentic Product Direction • Shape where AI agents and assisted workflows earn their place across the SDLC and operations, from code authoring and review to incident response, with a bias toward safe, auditable, human-reviewed automation. • Partner with engineering to decide what to build versus integrate across a fast-moving AI and developer infrastructure landscape. • Define how AI tooling effectiveness is measured: adoption, productivity gains, and developer satisfaction. • Productization from Internal to Customer-Facing • Identify which internal tools and platform capabilities are ready to become customer-facing offerings, and own the strategy that takes them from prototype to product. • Partner with product, design, and go-to-market teams to shape positioning, packaging, and the path to GA for graduated capabilities. • Bring customer and market insight back into the internal platform roadmap. • Cross-Functional Stakeholder Leadership • Build deep relationships with product and engineering leaders across Docker to understand their roadmaps and surface platform enablement opportunities. • Influence roadmaps by articulating platform constraints, trade-offs, and opportunities, and drive alignment when teams' needs compete. • Serve as the trusted product advisor on infrastructure and developer tooling decisions across the organization. • Measurement and Outcomes • Define and track the metrics that matter: platform adoption, reduction in support load and toil, provisioning and deployment speed, reliability, and developer productivity. • Use data to prioritize investment and to demonstrate the business impact of platform and AI tooling work.
Benefits
• US Salary RangeUS Salary Range $169.4K – $242K • Offers Equity • The salary range is a guideline and actual starting compensation will be determined by location, level, skills, and experience. • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here • Physical Mailing Address • To keep your interview experience seamless and distraction-free, we use an AI Notetaker to record and transcribe our interviews. This helps interviewers focus fully on the conversation and ensures your responses are captured accurately. The recording will only be used internally for evaluation. If you would prefer not to be recorded, you can opt out on this page. Opting out will not impact your candidacy in any way. • Yes, I consent to be recorded • Opt out of recording • Decline to self-identify • Hispanic or Latino - A person of Cuban, Mexican, Puerto Rican, South or Central American, or other Spanish culture or origin regardless of race. • Hispanic or Latino • White (Not Hispanic or Latino) - A person having origins in any of the original peoples of Europe, the Middle East, or North Africa. • White • Black or African American (Not Hispanic or Latino) - A person having origins in any of the black racial groups of Africa. • Black or African American • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) - A person having origins in any of the peoples of Hawaii, Guam, Samoa, or other Pacific Islands. • Native Hawaiian or Other Pacific Islander • Asian (Not Hispanic or Latino) - A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian Subcontinent, including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam. • Asian • American Indian or Alaska Native (Not Hispanic or Latino) - A person having origins in any of the original peoples of North and South America (including Central America), and who maintain tribal affiliation or community attachment. • American Indian or Alaska Native • Two or More Races (Not Hispanic or Latino) - All persons who identify with more than one of the above five races. • Two or More Races • Hispanic or Latino • White (Not Hispanic or Latino) • Black or African American (Not Hispanic or Latino) • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) • Asian (Not Hispanic or Latino) • American Indian or Alaska Native (Not Hispanic or Latino) • Two or More Races (Not Hispanic or Latino) • I identify as one or more of the classifications of protected veteran listed above • I am not a protected veteran
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