GitLab
Engineering Manager, AI Engineering: Chat
Vaga remota de AI Engineering com fit claro de localização do candidato.
PublicadaAdicionada recentemente
Países elegíveis27 países aceitos
Sinal de senioridadeLead
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Resumo da vaga
Engineering Manager, AI Engineering: Chat
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
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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