Senior Product Manager, Plan to Code

GitLab GitLab · Enterprise · Canada +1 · Remote · Core DevOps

Senior Product Manager for GitLab's Plan to Code area, focusing on integrating AI into the software development lifecycle. The role involves shaping how planning and source code management evolve with AI, defining spec-driven development workflows, and enabling human-in-the-loop and autonomous development experiences. The goal is to bring planning and coding closer together for faster, higher-quality software delivery.

What you'd actually do

  1. Define and drive product strategy for experiences that connect planning, source code management, and AI-assisted development.
  2. Help shape spec-driven development workflows that make it easier for teams and AI agents to move from requirements to code.
  3. Work with engineering, design, and other product teams to build product experiences that support human-in-the-loop and autonomous development workflows.
  4. Partner with teams working on demos and prototypes, including near-term work around spec-driven planning and autonomous development modes.
  5. Use customer insights, product usage data, and market context to identify opportunities that can deliver customer value quickly.

Skills

Required

  • Experience as a product manager working on developer tools, DevOps tools, source code management, planning tools, AI-native products, or related software development lifecycle products.
  • Strong understanding of how software moves from ideas and requirements through planning, coding, review, testing, and delivery.
  • Experience working with technical product areas and engineering teams, with enough technical depth to understand developer workflows and tradeoffs.
  • A data-forward approach to product management, including experience using data to identify customer impact and guide prioritization.
  • Comfort operating in ambiguous spaces where there may not yet be a clear market pattern or established product category.
  • Experience using or building with AI tools, agents, or AI-assisted workflows in a way that goes beyond basic prompting.
  • Ability to think creatively about how AI changes the software development lifecycle and how product experiences should adapt.
  • Strong collaboration and communication skills, especially in an all-remote, asynchronous environment.
  • A bias toward action and the ability to help teams ship meaningful customer value quickly.

What the JD emphasized

  • AI-native software development lifecycle
  • AI agents
  • human-in-the-loop
  • autonomous development workflows
  • spec-driven development

Other signals

  • AI-native software development lifecycle
  • AI agents can use specifications, context, and human feedback to build the right thing
  • define new product experiences that support spec-driven development, human-in-the-loop workflows, and a more seamless handoff from planning to coding
  • AI-assisted development
  • human-in-the-loop and autonomous development workflows