Engineering Manager, AI Engineering:Workflow Catalog

GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to enhance developer productivity and accelerate digital transformation. As an Engineering Manager for AI Engineering: Workflow Catalog, you will lead a team of engineers to build and manage AI agents and workflows, ensuring efficient delivery and collaboration across teams.

Responsibilities:

• 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

Requirements:

• 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