About the company
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. More than 50 million registered users and more than 50% of the Fortune 100 trust GitLab to ship better, more secure software faster.
Responsibilities
- Define and communicate the Test & Code Coverage product vision, strategy, and outcome-focused roadmap, from discovery through MVP, beta, launch, and continued iteration.
- Identify customer problems across pipeline failure diagnosis, test automation, test optimization, code coverage, and recovery.
- Work with Engineering to understand pipeline failures caused by flaky tests, testing gaps, environment issues, configuration problems, and coverage blind spots.
- Work directly with customers to understand how they author, maintain, select, prioritize, and debug tests.
- Partner with Engineering and Design to prototype agent-driven workflows for failure diagnosis, test authoring and repair, optimization, coverage analysis, and recovery.
- Define and measure outcomes such as time to diagnose, time to recover, failure recurrence, test signal quality, and developer confidence.
- Partner across Product, Engineering, Design, Quality, Developer Experience, Customer Success, Support, and Product Marketing.
- Lead through clear written communication, prioritization, and product judgment.
Requirements
- Experience owning complex technical products, platforms, or developer workflows at Staff, Senior Staff, Principal, or equivalent scope.
- Strong product fundamentals in customer discovery, problem framing, prioritization, roadmap development, outcome measurement, and iterative delivery.
- Technical fluency in software testing, test automation, code coverage, CI/CD, developer tools, DevOps, developer experience, quality engineering, or software delivery.
- Understanding of how engineering teams build, test, review, and ship software.
- Experience diagnosing technical problems and turning complex signals into clear user experiences.
- Experience exploring AI or agent-driven solutions for developer workflows.
- Experience using customer conversations to understand problems.