GitLab
Engineering Manager, AI Engineering: Chat
Remote AI Engineering role with clear candidate location fit.
PostedRecently added
Eligible countries27 accepted countries
Seniority signalLead
Work settingRemote
Accepted candidate locations
Role overview
Engineering Manager, AI Engineering: Chat
Requirements and responsibilities
Readable role content extracted into sections for faster review.
An overview of this role
- Extend capabilities of the Duo Agent Platform agentic chat regarding agentic capabilities, UI and context management
- Integrate new agentic generative AI models and providers into GitLab Duo Chat to expand capabilities and improve answer quality
- Improve debugging, observability, and test coverage for AI-powered chat workflows to maintain reliability at scale
What you’ll do
- Manage a team of experienced frontend, backend, and AI engineers to deliver GitLab Duo Chat roadmap commitments across the DevSecOps lifecycle.
- Partner with product and UX teams to define requirements and deliver AI features that address customer needs and improve answer quality.
- Participate in technical architecture and development work for systems that run AI agents at scale, with a focus on reliability, performance, and maintainability.
- Guide day-to-day execution by setting clear direction, tracking progress against milestones, and removing blockers to keep delivery on schedule.
- Coach engineers through feedback, guidance, and development conversations that foster each engineer's growth and overall team performance.
- Promote a team culture grounded in curiosity, inclusion, accountability, and steady delivery against team goals.
- Improve quality, testing, and performance practices that increase coverage, strengthen observability, and keep AI-powered chat workflows reliable in production.
What you’ll bring
- Experience managing engineering teams in a distributed environment and enabling strong team execution.
- Strong software engineering foundation with the ability to contribute to technical discussions and evaluate engineering tradeoffs.
- Hands-on familiarity with agentic AI or generative AI applied to software development workflows.
- Ability to work effectively through ambiguity, changing requirements, and fast-moving product development.
- Clear communication and collaboration skills across engineering, product, design, and other stakeholders.
- Dedication to coaching engineers and creating an inclusive, constructive team environment.
- Comfort balancing people management with technical involvement in day-to-day development.
- Openness to transferable experience from different technical backgrounds if it aligns with managing AI-powered product teams.
How GitLab Supports Full-Time Employees
- 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
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