Senior Product Manager, Plan to Code

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.

As Senior Product Manager, Plan to Code, you'll shape how planning and managing source code will evolve in an AI-native software development lifecycle. This role is focused on bringing planning and code closer together, so teams can move from requirements and specifications to commits, merge requests, and customer value with speed and quality.

This area is evolving quickly. We're exploring how AI agents can use specifications, context, and human feedback to build the right thing, not just build the thing right. You'll help define new product experiences that support spec-driven development, human-in-the-loop workflows, and a more seamless handoff from planning to coding.

This is an ambiguous, high-impact opportunity for a product manager who has strong software development lifecycle knowledge, is comfortable working with technical teams, and wants to help create something new in DevSecOps.

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.

About the team

This role sits within the Product organization and will work closely with teams across Plan, Source Code Management, Code Review, and AI. We are focused on helping GitLab customers plan, build, and deliver software in a faster, more connected way.

You'll join a group that is rethinking how planning and coding should work as AI changes the speed and shape of software development. Rather than treating planning, coding, and review as separate stages, we're exploring how to bring these workflows closer together so humans and agents can collaborate more effectively.