Engineering Manager, AI Engineering – Chat

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GitLab

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Secondary Market on 2020-11

Artificial Intelligence • Enterprise • SaaS

GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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