Senior Product Manager, Agentic Source Code

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.

The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.

* Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.

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, Source 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 define new product experiences for spec-driven, human-in-the loop development: how the link between planning intent and the code that implements it gets created, stays accurate as both change, and gets used at review time. The hard part is that this link decays. Code moves, specs might not follow, you will define how to make that connection self-maintaining.

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.

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.

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.