GitLab
Enterprise · DevOps
- HQ
- San Francisco, US
- Founded
- 2011
- Website
- about.gitlab.com/company
Currently tracking 13 active AI roles, down 13% versus the prior 4 weeks. Primary focus: Agent · Engineering.
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.
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 (81%), application (12%), serving infrastructure (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 (13 roles), United Kingdom (5 roles), India (3 roles), Canada (3 roles).
Job postings at GitLab most frequently reference: agent orchestration, model serving, guardrails, llm observability, tool use.
In the past 30 days, GitLab has posted 9 new AI-related roles. That is a -36% change versus the prior 30 days (14 → 9).
| 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 TA Operations Specialist Senior TA Operations Specialist responsible for owning and architecting the Talent Acquisition technology infrastructure, including ATS configuration, integrations, and the design, build, and deployment of AI agents and automation workflows. The role involves managing AI governance, bias auditing, and compliance, as well as leading the TA systems roadmap and vendor relationships. | Agent | 7 |
| 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 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 |
| 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 |
| Senior AI Engineer Senior AI Engineer at GitLab responsible for delivering internal AI-powered solutions across Sales, Marketing, and Customer Support. The role involves diagnosing business problems, designing and shipping AI solutions end-to-end, improving organizational flow, and integrating AI capabilities into existing systems. 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 |
| Staff Backend Engineer, SSCS: AI Governance Staff Backend Engineer focused on AI Governance at GitLab, defining the technical foundation for governing GitLab Duo agents at enterprise scale. The role involves designing backend architecture for auditability, policy enforcement, and enterprise reporting, ensuring clear visibility and controls for AI agent activity. It requires strong experience in backend systems, authorization patterns, and Ruby on Rails/Python, with a focus on enabling secure and compliant adoption of AI features. | AgentEval Gate | 7 |
| Senior Solutions Architect - AI & Platforms SME Senior Solutions Architect with AI and Platforms expertise to advise customers on GitLab's AI-powered DevSecOps platform, focusing on technical strategy, evaluations, and driving adoption of AI-led solutions. | Agent | 7 |
| Staff Backend Engineer (Ruby on Rails/AI), Verify Staff Backend Engineer focused on integrating AI and agentic features into GitLab CI/CD workflows. The role involves shaping and scaling backend infrastructure, designing AI-powered features, defining success metrics for AI in CI, building observability for AI systems, and improving performance of CI systems. Requires strong Ruby on Rails, PostgreSQL, and experience with AI-powered backend features and observability. | Agent | 7 |
| Principal Solutions Architect, AI / Core DevOps SME Principal Solutions Architect focused on advising customers on GitLab's AI-powered DevSecOps platform. This role involves technical discovery, architecture design, leading evaluations (POC/POV), and driving AI-focused solution strategy as the AI subject matter expert. The role acts as a technical advisor and pre-sales partner, connecting GitLab's AI capabilities to customer business outcomes and influencing product direction with field feedback. | Agent | 7 |