Engineering Manager, AI Engineering:Workflow Catalog

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 an Engineering Manager, AI Engineering: Workflow Catalog , you will guide the team building GitLab’s AI catalog , which helps customers and internal teams create, share, version, and govern AI agents and workflows across GitLab. This role sits at the center of GitLab’s work on AI and the Duo Agent Platform , with responsibility for helping a team of engineers deliver systems that let AI agents run at scale with the right controls in place. You will report through engineering leadership while managing a team of 9 engineers, and your work in the first year will focus on giving the team clarity, improving execution, and shipping customer-facing capabilities that make AI agents easier to build, manage, and trust. This is a hands-on management opportunity for someone who wants to have impact through both people management and technical judgment. You’ll help shape how software teams use AI in GitLab, stay close to technical design and day-to-day development, and partner closely with product and UX to turn complex ideas into practical features. What you’ll do Guide a distributed team of frontend, backend, and AI engineers working on the Workflow Catalog to deliver roadmap commitments on schedule. Coach engineers through feedback, enablement, and clear expectations to improve performance, growth, and retention across the team. Work with product and UX counterparts to define requirements and deliver AI features that address customer needs and improve adoption. Participate in technical design discussions and contribute engineering judgment to build scalable, reliable systems that support AI agents running at scale. Remove blockers, create clarity, and help the team maintain steady delivery in a fast-moving environment. Coordinate execution across planning, development, and delivery to improve predictability, delivery speed, and quality. Promote a team culture grounded in inclusion, curiosity, technical craft, and continuous delivery to strengthen collaboration and engineering excellence. Work **with teams across GitLab’s AI space to enable the broader Duo Agent Platform and ship aligned AI capabilities across the product. What you’ll bring Experience managing effective engineering teams and assisting engineers with coaching, feedback, and career development. Solid technical background in software development, with the ability to engage deeply in architecture and engineering judgment. Hands-on familiarity with agentic AI in software development and interest in how AI is changing the way software is built. Ability to work effectively i ... (truncated, view full listing at source)