Engineering Manager, AI Engineering:Agent Execution

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 roleThe Agent Execution group is focused on running agents securely at scale on GitLab's Duo Agent platform. Core parts of the development are the integration between agents and our runtime environment as well as how to observe and steer agents while they run. In this role, you will lead a team of 7 experienced engineers to build innovative AI solutions tailored to our customers' needs. You give engineers clarity, remove friction, and coaching needed to build fast and build right. We expect you to be a strong engineer who never stopped caring about the craft. Technical depth isn't optional — it's what makes good engineering decisions possible. You lead because it's where you have the most impact, but you still love building.Some examples of our projects:Building configurable network access and sandboxing for agentsCreating the right execution environments for coding agentsWhat you’ll doManage a distributed team of engineers across frontend, backend, and AI engineering to deliver core capabilities for the Duo Agent platform on planned timelines and with high engineering quality.Work with product and UX counterparts to turn customer needs into clear priorities and shipped AI features that improve user adoption and satisfaction.Participate in technical design and implementation decisions for systems that support secure, scalable agent execution, improving reliability, safety, and performance.Assist with day-to-day development by staying close to the code, architecture, and engineering tradeoffs facing the team to improve delivery quality and speed.Monitor delivery progress, identify risks early, and remove blockers so the team maintains momentum and meets key milestones.Coach engineers through feedback, growth conversations, and hands-on guidance that improves technical quality, execution, and career development.Promote a team culture grounded in inclusion, curiosity, accountability, and continuous delivery that fosters strong teamwork, healthy engagement, and sustainable execution.Work with teams across GitLab to strengthen the Duo Agent platform as a foundation for broader AI capabilities and successful cross-team launches.What you’ll bringExperience managing engineering teams in a way that balances delivery, technical quality, and team growth.Strong software engineering depth and the ability to contribute to architectural and implementation discussions with credibility.Hands-on understanding of agentic AI in software development and interest in how AI is changing engineering workflows.Ability to work through ambiguity and help teams make progress in fast-paced environments with evolving requirements.Clear communication and stakeholder management skills across engineering, product, and design partners.Dedication to coaching and developing engineers in an inclusive team environment.Familiarity with building and deploying AI products, observability systems, or reliability-focused systems and the ability to apply that knowledge in this role.Experience in Python, Ruby, Go, or TypeScript, or transferable technical experience in similar languages and systems.About the teamThe Agent Execution team is part of the Agent Foundations group, and we are responsible for the platform capabilities that let GitLab Duo agents run securely, be observed effectively, and operate in the right execution environments. We work asynchronously across three continents and partner closely with other AI and platform teams across GitLab. Our work supports foundational challenges such as safe runtime integration, agent control, and infrastructure that can support future AI features across Git