GitLab
Enterprise · DevOps
- HQ
- San Francisco, US
- Founded
- 2011
- Website
- about.gitlab.com/company
Enterprise · DevOps
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 |
|---|---|---|
| Customer Success Architect, EMEA GitLab is seeking a Customer Success Architect for their EMEA team. This role focuses on aligning GitLab's DevSecOps platform with customer business objectives, driving adoption, retention, and growth. The CSA will act as a trusted advisor, liaison between customers and GitLab's internal teams (Product, Engineering, Sales, Support), and manage customer success plans and escalations. While the company embraces AI for productivity, this role is customer-facing and consultative, not directly building AI models. | — | 5 |