The opportunity
Nonlinear Productivity — shortened internally to "NLP," with no relation to natural language processing — is one of GitLab's newest teams: a strategic incubation group that reports into AI Platform leadership under the direct sponsorship of the CTO. It's split into a US group…
What you'll do
Identify sources of friction across GitLab's software development lifecycle: and scope agentic solutions to address them, turning vague pain points into concrete, buildable proposals.
Design and build reliable AI-powered systems that follow step-by-step: workflows, use tools and safety checks, and correct errors before taking engineering action — the kind of output you can actually trust with real engineering decisions.
Build and maintain evaluation tools that judge agent output on correctness,: constraint compliance, and cost, not on whether it merely "seems to work."
Work across GitLab's codebase as each problem requires, going wherever the: friction actually is rather than staying inside one service or product area.
Apply distributed systems judgment to identify generated code that may fail: under concurrency, at scale, or across self-managed, dedicated, and multi-tenant deployments, catching failures before they reach customers.
Collaborate with the India-based group, sharing roadmaps, findings, and reusable agent tooling
What they're looking for
- Take ownership of a greenfield problem space from day one, helping shape a: proven internal fix into a capability GitLab could offer customers externally, with your scope and impact free to grow as the team scales.
