Engineering Manager at GitLab leading a 9-person team building the AI Workflow Catalog platform. Responsible for shipping AI agent orchestration features, managing distributed engineers, and driving technical execution on the Duo Agent Platform.
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.
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.
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.
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.
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