Senior Product Manager, Agentic Source Code

GitLab is building an AI-powered DevSecOps platform. The Senior Product Manager will shape experiences connecting planning, source code management, and AI-assisted development, helping teams and agents move from specifications to code and review with speed and quality.

Responsibilities:

• Define and drive product strategy for experiences that connect planning, source code management, and AI-assisted development
• Shape workflows where teams and agents move between intent and code in both directions, so a specification can be traced to the merges that implement it and a diff can be read and reviewed against the intent behind it
• 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, including which decisions stay with a human and why
• 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

Requirements:

• strong software development lifecycle knowledge
• is comfortable working with technical teams
• 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
• 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
• A bias toward action and the ability to help teams ship meaningful customer value quickly