Staff Product Manager, Infrastructure & AI Dev Tools (Seattle, WA / West Coast Preferred)

Docker

3d•$169,400 - $242,000•Remote

About The Position

Docker is seeking a Staff Product Manager to own product strategy across the Infrastructure and AI Dev Tools organization. This role sits at the intersection of Docker's internal developer platform and the customer-facing products that emerge from it. The Infrastructure team builds and operates the cloud-native platform for products like Docker Hub, Gordon, and AI Governance, including Kubernetes, networking, provisioning, and observability. The AI Dev Tools team develops agents and tooling to modernize software design, development, shipping, and operation for both internal engineers and external customers. The Staff Product Manager will treat the platform as a product, driving prioritization, defining golden paths, measuring adoption, and earning trust. They will identify internal tools ready for customer-facing offerings and shape their transition from prototype to product, collaborating with engineering leaders, principal and staff engineers, Security, product teams, and customers.

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.

Nice To Haves

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.

Responsibilities

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.
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.
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.
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.
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.
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

Remote-first by design
Flexibility that fits your life
Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
Home office support
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
Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
Docker swag