Group PM / Principal Product Manager, AI Developer Tools

GitLab is the intelligent orchestration platform for DevSecOps, and they are seeking a Principal Product Manager for AI Developer Tools. This role involves leading the strategy and roadmap for GitLab Duo, focusing on enhancing developer workflows through command line and IDE integrations.

Responsibilities:

• Define and drive product strategy for GitLab's AI Developer Tools, with a focus on command line interface (CLI) experiences and IDE extensions that fit naturally into developers' daily workflows
• Partner closely with engineering, design, and cross-functional stakeholders to translate developer needs into clear problem statements, prioritized roadmaps, and shippable increments
• Own the roadmap and execution for the CLI as a primary deliverable, making tradeoffs that balance developer experience, product quality, and iterative delivery
• Lead discovery with real software developers (including hands-on testing of workflows) to validate usability, measure impact, and continuously improve end-to-end experiences on the command line and in the IDE
• Coordinate launches and ongoing iteration for new capabilities, aligning release readiness across product, engineering, and go-to-market partners as needed
• Stay current on the AI coding assistant landscape and developer tool expectations, using competitive and market insights to inform product decisions without losing focus on GitLab's differentiated platform approach
• Contribute as a senior individual contributor on the AI Product team, collaborating with a close-knit group of teammates and reporting to the Vice President of Product for AI

Requirements:

• Product management experience owning developer-facing products from discovery through launch (for example, B2B SaaS, developer platforms, or tooling)
• Strong technical foundation, including hands-on software development experience and comfort working day-to-day in the command line
• Familiarity with the AI coding assistant landscape, integrated developer workflows, and how modern developer tools are evaluated and adopted, including competitive offerings in this space
• Experience defining product strategy, shaping roadmaps, and partnering closely with engineering to ship high-quality CLI-first experiences (for example, AI agent workflows or AI-assisted development on the command line)
• Openness to learning and iteration, with a self-directed approach to staying current on developer tooling trends and the fast-moving AI ecosystem