Principal Product Manager, Continuous Delivery

GitLab GitLab · Enterprise · India · Remote · Core DevOps

Principal Product Manager for GitLab's AI-First Continuous Delivery capabilities, responsible for shaping the product strategy and roadmap for AI-native, enterprise-grade CD. This role involves defining AI agent deployment governance, compliance controls, and platform experiences for trustworthy deployments at scale. The PM will translate customer problems and market insights into product direction, partner with cross-functional teams, and drive business outcomes.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

Skills

Required

  • Extensive product management experience owning complex, technical B2B SaaS and developer-facing platforms
  • Proven track record launching new products and translating customer needs into clear product strategy and measurable outcomes
  • Deep experience with CI/CD systems and deployment tooling, including building capabilities that improve pipeline reliability, performance, and usability at scale in enterprise environments
  • 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
  • Highly analytical and data-driven approach: ability to synthesize qualitative feedback, product usage data, and market research into actionable insights

Nice to have

  • Comfort going deep with Engineering on implementation details when needed, including discussing technology trade-offs and their impact on product outcomes
  • Strong technical fluency— able to engage credibly with senior engineers on deployment architecture, AI-assisted workflows, Kubernetes, and platform integrations

What the JD emphasized

  • AI-First Continuous Delivery
  • AI-native, enterprise-grade CD
  • AI agent deployment governance
  • compliance controls in highly regulated industries
  • AI-assisted workflows
  • launch the first version of GitLab AI-First CD
  • own the business results of this initiative

Other signals

  • AI-First Continuous Delivery capabilities
  • AI-native, enterprise-grade CD
  • AI agent deployment governance
  • compliance controls in highly regulated industries
  • AI-assisted workflows