GitLab currently has 25 active AI-related job listings. The majority of these roles, 92%, are focused on agents, with a single role each in application and data. The primary function for these positions is Engineering, with 22 roles, followed by Product with 3 roles. Hiring is concentrated in the United States, with 10 positions, and the United Kingdom and India each have 4 roles. Frequent tech tags include agent_orchestration, model_serving, and tool_use, suggesting a focus on building and deploying AI agents.
Currently tracking 13 active AI roles, down 45% versus the prior 4 weeks. Primary focus: Agent · Engineering.
GitLab currently has 26 active AI-related roles in our index. The most common open titles are: Forward Deployed Engineer - UK (2), Senior AI Engineer (2), AI Engineer, AI Transformation Owner, Marketing, CX, Staff Forward Deployed Engineer . Most positions are in Engineering and Product.
GitLab's active AI hiring is concentrated in: agents (88%), application (8%), data (4%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
GitLab is hiring AI talent in: United States (12 roles), United Kingdom (6 roles), Canada (4 roles), Ireland (3 roles).
Job postings at GitLab most frequently reference: agent orchestration, model serving, guardrails, tool use, llm observability.
In the past 30 days, GitLab has posted 12 new AI-related roles. That is a -25% change versus the prior 30 days (16 → 12).
| Title | Stage | AI score |
|---|---|---|
| Senior Product Manager, AI Platform Management Senior Product Manager to define and evolve GitLab's AI Platform Management capabilities, focusing on the AI Control Plane that governs agents, Model Context Protocol servers, tools, and skills, including approval workflows and auditability. The role requires experience building product for AI platforms, managing ambiguity, and collaborating cross-functionally. | Agent | 7 |
| AI Transformation Owner, Marketing This role focuses on defining and implementing AI strategy within a specific business function, acting as a product manager for the organization's way of working. The individual will identify opportunities for AI to improve workflows, manage the AI request intake, prioritize AI initiatives, and drive adoption. They will build AI agents using no-code/low-code tools, author skills files, configure tools, and own the performance and evaluation of these agents, partnering closely with an AI Engineer. |
| 7 |
| Staff Backend (Python) Engineer, AI Engineering:Duo Chat Staff Backend Engineer (Python) on the Duo Chat team, responsible for the backend architecture of GitLab Duo Chat. This role involves integrating and evolving LLM providers, improving observability and testing, and driving architectural decisions for a scalable AI-powered chat experience within the DevSecOps platform. | Agent | 7 |