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GitLab

GitLab, founded in 2011 and based in San Francisco, California, maintains a distributed team of professionals that work remotely across multiple continents. GitLab advocates for pr

Staff Product Manager, AI Developer Tools

AI EngineerMachine Learning EngineerOtherRemoteLeadTeam 2,500Since 2014

Location

United States

Posted

108 days ago

Salary

$170K - $240K / year

Seniority

Lead

Bachelor DegreeEnglish

Job Description

Staff Product Manager, AI Developer Tools

GitLab

• 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.

Job 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.

Benefits

  • Benefits to support your health, finances, and well-being
  • Flexible Paid Time Off
  • Team Member Resource Groups
  • Equity Compensation & Employee Stock Purchase Plan
  • Growth and Development Fund
  • Parental leave
  • Home office support

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