Currently tracking 14 active AI roles, down 26% versus the prior 4 weeks. Primary focus: Agent · Engineering.
| Title | Stage | AI score |
|---|---|---|
| Customer Success Engineer - Japan Customer Success Engineer for GitLab's DevSecOps platform, focusing on helping customers achieve measurable value through technical guidance and enablement. This role involves partnering with customers to improve adoption, unblock implementations, and apply best practices across the software delivery lifecycle, leveraging deep technical expertise in DevSecOps and cloud technologies. The role also contributes to documentation and enablement content. | — | 5 |
| Senior Commercial Legal Counsel, APAC Senior Commercial Legal Counsel for APAC at GitLab, a DevSecOps platform. The role involves negotiating commercial and technology agreements, managing cross-border legal issues, and advising on data privacy and AI-related terms across the APJ region. The candidate will also develop contract templates and processes, and train sales teams. | — | 0 |
| Staff Backend Engineer, AST: Composition Analysis Staff Backend Engineer on GitLab's Software Composition Analysis team, focusing on enhancing dependency scanning and container scanning capabilities to help customers manage software supply chain risks. The role involves hands-on implementation, architecture, and technical leadership in areas like reachability analysis and supply chain poisoning detection. |
| — |
| 0 |
| Customer Success Manager, Japan Customer Success Manager for GitLab's DevSecOps platform, focusing on driving adoption, measurable outcomes, and customer advocacy. This role involves guiding customers on best practices, translating product usage data into actionable recommendations, and collaborating with internal teams. While the company embraces AI, this specific role is customer-facing and does not involve building AI models. | — | 0 |
| Principal Engineer, Infrastructure Platforms GitLab is seeking a Principal Engineer to set technical direction for their critical infrastructure platforms, focusing on scalability, reliability, and efficiency. This role involves owning architecture, solving complex systems problems, and driving initiatives across distributed and cloud-native systems, with an emphasis on treating GitLab engineers as customers and building self-service tooling. The role also mentions incorporating AI into daily workflows as a productivity multiplier. | — | 0 |