The opportunity
The Nonlinear Productivity team improves how GitLab engineers, and increasingly agents, build, review, and ship code. We test and scale durable technical fixes that improve our internal engineering output.
What you'll do
Survey GitLab’s internal software development lifecycle and code-generation: workflows to identify structural friction early, and build a data-backed view of where technical interventions will have the highest leverage.
Evaluate build, buy, and adapt options for each opportunity, including: emerging agentic and AI tooling, with a clear view of cost, risk, and durability.
Stand up prototypes and review architecture directly to test whether a: proposed fix moves a target metric and represents a durable solution before GitLab makes broader engineering investment.
Hire and manage a small, high-caliber team, or operate as a hands-on working: manager, with a focus on talent density over headcount.
Drive validated fixes from prototype to internal adoption by partnering with: affected teams so solutions are relied on, used, and maintained.
Build the technical and business case for productizing internal fixes that: prove durable, in partnership with product.
What they're looking for
- Document reusable learnings so successful internal fixes don’t remain tribal knowledge.
- Report impact through changes in key metrics and progress on turning internal: fixes into products, including a clear account of what didn’t work.
