Engineering Manager, AI Engineering:Workflow Catalog at Gitlab

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 in fast-paced environments with evolving requirements and continuous delivery practices. • Clear communication skills and the ability to work effectively with engineering, product, UX, and other stakeholders across a distributed organization. • Focus on building an inclusive team environment where engineers can do effective work together. • Experience with AI product development, observability, reliability engineering, Ruby, or TypeScript is useful, and we welcome candidates with adjacent or transferable experience. About the team The Workflow Catalog. We are distributed across three continents but unified by the desire to shape the future of software engineering. We're hard at work creating a product and the infrastructure that changes software development processes at scale. We're partnering with teams both within the AI space as well as all over GitLab to ensure that the Duo Agent Platform can become the backbone of many AI features at GitLab. Examples of such initiatives include Agent Skills, a reusable format for defining agent instructions that can be shared across agents, flows, CI/CD jobs, and IDE chat, and automatic flow generation that lets users describe what they want in plain language rather than having to learn the underlying YAML syntax. This is an opportunity to guide a team in one of the most exciting areas of GitLab and contribute to the fundamental changes that are happening to the SDLC right now. How GitLab will support you • Benefits to support your health, finances, and well-being • Flexible Paid Time Off • Team Member Resource Groups • Equity Compensation & Employee Stock Purchase Plan • Growth and Development Fund • Parental leave • Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.