Senior Product Manager, Plan to Code

About

An Overview Of This Role
GitLab is building the most comprehensive AI-powered DevSecOps platform, and this role will help shape how teams move from planning to code in an AI-native software development lifecycle.

What You’ll Do

• Define and drive product strategy for experiences that connect planning, source code management, and AI-assisted development.
• Help shape spec-driven development workflows that make it easier for teams and AI agents to move from requirements to code.
• Work with engineering, design, and other product teams to build product experiences that support human-in-the-loop and autonomous development workflows.
• Partner with teams working on demos and prototypes, including near-term work around spec-driven planning and autonomous development modes.
• Use customer insights, product usage data, and market context to identify opportunities that can deliver customer value quickly.
• Help teams ship fast with quality, balancing near-term execution with longer-term product direction.
• Explore how planning can better account for reviewing code, reviewing test cases, and validating that work produced by agents matches the intended outcome.
• Collaborate across Plan, Source Code Management, Code Review, and AI product areas to reduce friction across the software development lifecycle.

What You’ll Bring

• 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.
• Direct, hands-on experience with the source code lifecycle, including branches, merge requests, code review, CI/CD, and releases, whether as a product manager or as an engineer, along with a 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 building or shipping with AI tools and agents, not just using them, and a point of view of your own on where AI helps and where it does not across the software development lifecycle.
• 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.