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 |
|---|---|---|
| Distinguished Engineer, Agentic SDLC & Non‑Linear Productivity Distinguished Engineer role focused on pioneering and scaling autonomous, agentic SDLC capabilities within GitLab. The role involves identifying productivity opportunities, leading hands-on experiments with AI agents for tasks like MR authoring and security remediation, designing reference architectures with guardrails and observability, defining evaluation frameworks, and converting proven internal patterns into customer-facing product capabilities. Requires deep expertise in AI/ML systems, agentic frameworks, and production-scale autonomous workflows. | AgentEval Gate | 9 |
| 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 |
| Senior Professional Services, Technical Architect - AI Senior Professional Services Technical Architect specializing in GitLab Duo Agent Platform, responsible for helping customers move from ideas to production by designing and delivering solutions, building and deploying Custom Agents, Custom Flows, and CI/CD integrations, and owning delivery end-to-end. This role involves customer discovery, integration with existing systems, establishing AI governance, and measuring impact. | Agent | 8 |
| AI Engineer AI Engineer at GitLab focused on building internal AI-powered solutions for Sales, Marketing, and Customer Support. The role involves diagnosing business problems, owning AI initiatives end-to-end, designing and shipping AI solutions quickly, and integrating AI capabilities into existing systems. Emphasis on practical outcomes, measurable business value, and using AI as a productivity multiplier. | Agent | 7 |
| Staff Security Engineer, IAM (USA) This Staff Security Engineer role focuses on designing and implementing identity and access management (IAM) solutions for enterprise AI platforms and AI agents. The role involves leading engineering efforts for AI platforms, codifying identity in Terraform, and pioneering governance for non-human identities including AI agents. Experience with AI platforms and AI-specific risks is required, and the role operates within regulated environments. | Agent | 7 |
| 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 |
| Senior AI Engineer Senior AI Engineer responsible for delivering internal AI-powered solutions across Sales, Marketing, and Customer Support. The role focuses on diagnosing business problems, designing and shipping AI solutions end-to-end, improving organizational flow, and integrating AI capabilities into existing systems using APIs and orchestration tools. Emphasis on practical outcomes, measurable business value, and leveraging AI as a productivity multiplier. | 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 |