About this role
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
As Manager, Engineering, Nonlinear Productivity (Friction Elimination & Solutions), you’ll help GitLab break the linear relationship between headcount and engineering output. In this role, you’ll oversee the initiative’s forward-scanning work, reviewing GitLab’s software development lifecycle and code-generation workflows to spot recurring friction, test durable fixes, and identify internal solutions that could become customer-facing products.
You’ll report to the Senior Manager or Director, Nonlinear Productivity and work at the intersection of engineering, developer productivity, AI-assisted development, and product. You’ll build a data-backed view of where technical interventions can have the highest leverage, test solutions through prototypes, drive validated fixes into internal adoption, and help build the case for productizing the strongest outcomes.
What you’ll do
• Survey GitLab’s internal software development lifecycle and code-generation workflows to identify structural friction early, and build a data-backed view of where technical interventions will have the highest leverage.
• Evaluate build, buy, and adapt options for each opportunity, including emerging agentic and AI tooling, with a clear view of cost, risk, and durability.
• Stand up prototypes and review architecture directly to test whether a proposed fix moves a target metric and represents a durable solution before GitLab makes broader engineering investment.
• Hire and manage a small, high-caliber team, or operate as a hands-on working manager, with a focus on talent density over headcount.
• Dri