Own the product strategy and full roadmap for GitLab AI-First CD, spanning AI agent deployment governance, compliance controls in highly regulated industries, Kubernetes and container deployments, and platform-level analytics and reporting.
Develop a differentiated point of view on how the CD market is evolving in the AI era through direct customer engagement, field conversations, analyst relationships, and competitive intelligence.
Partner closely with Engineering, UX, Product Design, and Quality to define problems, evaluate trade-offs, deliver improvements, and guide development and testing through delivery cycles.
Work with Sales, Customer Success, Support, and Field teams to understand customer needs and adoption blockers, translate them into clear product requirements and release plans, and support customer-facing conversations.
Define and track success metrics for your product area, run lightweight validations for new workflow ideas, and use customer feedback and product data to guide iteration and measure outcomes.
Build strong cross-functional alignment across related GitLab stages and groups to deliver cohesive end-to-end experiences, connecting build, release, deploy, and environment workflows.
Represent the Continuous Delivery product area internally and externally by communicating the roadmap, key decisions, and customer value in clear, straightforward language.
Requirements
Extensive product management experience owning complex, technical B2B SaaS and developer-facing platforms, with proven track record launching new products and translating customer needs into clear product strategy and measurable outcomes.
A founder's mindset: you create structure where none exists, make decisions with incomplete information, and take personal accountability for outcomes — not just outputs.
Deep experience with CI/CD systems and deployment tooling, including building capabilities that improve pipeline reliability, performance, and usability at scale in enterprise environments.
Comfort going deep with Engineering on implementation details when needed, including discussing technology trade-offs and their impact on product outcomes.
Strong understanding of personas across the software delivery lifecycle—including developers, platform and DevOps engineers, engineering leaders, and release managers—and how they evaluate and adopt delivery tooling.
Strong technical fluency— able to engage credibly with senior engineers on deployment architecture, AI-assisted workflows, Kubernetes, and platform integrations
Highly analytical and data-driven approach: ability to synthesize qualitative feedback, product usage data, and market research into actionable insights and iterative improvements.
Tech Stack
Kubernetes
Benefits
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan