The opportunity
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation.
What you'll do
Define and continuously refine a company-wide technical vision for: autonomous, agentic SDLC that aligns with GitLab's product strategy and Engineering job architecture
Identify and prioritize non-linear productivity opportunities across the: SDLC, from planning and coding to review, security, compliance, and operations, targeting 10x step changes rather than incremental gains
Translate ambiguous problem spaces into concrete, iterable roadmaps in: partnership with Product, AI and ML, and Architecture teams
Lead hands-on experiments and prototypes to validate where agentic workflows: can fully own or materially reshape engineering tasks, including autonomous MR authoring, test creation and triage, security remediation, release readiness, and incident response
Design and implement reference architectures for agentic SDLC inside GitLab,: including orchestration patterns, safety guardrails, observability, and human-in-the-loop controls
Define evaluation frameworks using offline benchmarks and online experiments: to measure correctness, latency, safety, cost, and productivity impact of agentic workflows
What they're looking for
- Select and own a small set of high-impact internal use cases as pathfinders: and drive them from concept through adoption to measurable productivity gains
- Work directly with engineering teams to embed agentic workflows into: day-to-day development, ensuring they are trusted, observable, and resilient
- Define and track core productivity metrics such as cycle time, MTTR, and MR: throughput, and link agentic interventions to real business outcomes
- Capture and codify reusable patterns, libraries, and playbooks that other: teams can adopt with minimal friction
