Engineering Manager, SSCS: AI Governance

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 the Engineering Manager, AI Governance , you'll lead the team building a paid SKU that helps regulated enterprise customers govern GitLab Duo agent activity across the software development lifecycle. This role sits at the center of GitLab's AI and security strategy: you'll build and support the engineering team, create predictable delivery across a multi-phase roadmap, and help bring visibility, control, and audit evidence into GitLab for customers with strict compliance needs. You'll report to the SSCS Senior Engineering Manager and work closely with Product and Design partners to turn a fast-moving market need into a reliable product. In your first year, you'll shape how the team operates, grow the organization, and drive delivery across core areas including the audit event system, policy enforcement capabilities, and governance reporting experiences. This is a strong fit if you're energized by building teams and products at the same time, especially in areas where AI , compliance , and software supply chain security come together. What you’ll do Lead the AI Governance engineering team and support its growth as the product and roadmap expand, building a high-performing organization that delivers roadmap commitments on schedule. Own delivery planning and execution across the AI Governance roadmap, including audit events, registry and policy controls, and governance reporting, to ship key milestones on schedule and keep roadmap delivery predictable. Build the team by partnering with Talent Acquisition, running hiring processes, and helping attract backend engineering talent across levels to meet hiring goals tied to roadmap needs. Partner with Product, Design, and peer engineering leaders to prioritize work, plan capacity, and maintain clear alignment on scope and sequencing to reduce delivery delays and tradeoffs. Collaborate with the Duo Agent Platform team and other adjacent teams to deliver systems that work reliably across product boundaries and reduce integration issues in production. Develop engineers through regular 1:1s, performance feedback, and career development conversations in an all-remote environment to support team growth and improve retention. Drive engineering quality through strong testing practices, sound architecture, and a delivery cadence that builds customer trust and reduces production defects. Represent the team in stage planning and section-level leadership reviews, providing clear updates on progress, risks, and tradeoffs to support timely decisions and keep roadmap execution on track. What you’ll bring E ... (truncated, view full listing at source)