Engineering Manager, AI Engineering: Chat

<div class="content-intro"><p>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.</p> <p>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&nbsp;and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. <a href="https://www.youtube.com/watch?v=OuZIb5zszQI">Co-create the future with us</a> as we build technology that transforms how the world develops software.</p> <p>*<em>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.</em></p></div><h2><strong>An overview of this role</strong></h2> <p>The Engineering Manager on the<a href="https://handbook.gitlab.com/handbook/engineering/ai/duo-chat/"> Duo Chat team</a> helps shape the core AI capabilities behind<a href="https://docs.gitlab.com/user/duo_agent_platform/context/#gitlab-duo-agentic-chat"> GitLab Duo Chat</a>, so customers can work faster and more securely across the GitLab DevSecOps platform. In this role, you will manage a team of engineers building AI-powered product experiences that span the software development lifecycle, while staying close to the technical work that informs strong engineering judgment. You will play a key role in how the team delivers scalable, reliable, and high-quality AI features, from roadmap execution to stronger testing, performance, and developer clarity.</p> <p>Some examples of our<a href="https://about.gitlab.com/direction/ai-powered/duo_chat/"> projects:</a></p> <ul> <li>Extend capabilities of the Duo Agent Platform agentic chat regarding agentic capabilities, UI and context management</li> <li>Integrate new agentic generative AI models and providers into GitLab Duo Chat to expand capabilities and improve answer quality</li> <li>Improve debugging, observability, and test coverage for AI-powered chat workflows to maintain reliability at scale</li> </ul> <p>&nbsp;</p> <h2><strong>What you’ll do</strong></h2> <ul> <li>Manage a team of experienced frontend, backend, and AI engineers to deliver GitLab Duo Chat roadmap commitments across the DevSecOps lifecycle.</li> <li>Partner with product and UX teams to define requirements and deliver AI features that address customer needs and improve answer quality.</li> <li>Participate in technical architecture and development work for systems that run AI agents at scale, with a focus on reliability, performance, and maintainability.</li> <li>Guide day-to-day execution by setting clear direction, tracking progress against milestones, and removing blockers to keep delivery on schedule.</li> <li>Coach engineers through feedback, guidance, and development conversations that foster each engineer's growth and overall team performance.</li> <li>Promote a team culture grounded in curiosity, inclusion, accountability, and steady delivery against team goals.</li> <li>Improve quality, testing, and performance practices that increase coverage, strengthen observability, and keep AI-powered chat workflows reliable in production.</li> </ul> <h2><strong>What you’ll bring</strong></h2> <ul> <li>Experience managing engineering teams in a distributed environment and enabling strong team execution.</li> <li>Strong software engineering foundation with the ability to contribute to technical discussions and evaluate engineering tradeoffs.</li> <li>Hands-on familiarity with agentic AI or generative AI applied to software development workflows.</li> <li>Ability to work effectively through ambiguity, changing requirements, and fast-moving product development.</li> <li>Clear communication and collaboration skills across