Currently tracking 13 active AI roles, down 45% versus the prior 4 weeks. Primary focus: Agent · Engineering.
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.
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 |
|---|---|---|
| Staff Product Manager, AI Agent Orchestration Staff Product Manager for GitLab's AI Agent Orchestration Platform, focusing on core capabilities like agent context, memory, background agents, and orchestration workflows to enable human-agent collaboration in the DevSecOps platform. | Agent | 8 |
| Principal Product Manager, AI Custom Models Principal Product Manager to define strategy and roadmap for custom models and self-hosted AI capabilities within GitLab, focusing on model choice, agent-based workflows, and operational realities for customers needing self-managed options. | 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. |
| Agent |
| 7 |
| Vice President, Data & Insights VP of Data and Insights to lead the strategic vision, architecture, and execution of GitLab's enterprise data platform and analytics capabilities, focusing on building AI-enabled, self-service data organization and certified data foundations for intelligent decision-making. | Data | 7 |