Product managementCI/CD
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An overview of this role
As Staff Product Manager, Test & Code Coverage, you'll build product capabilities from initial discovery through launch and adoption. You'll help engineering teams understand why pipelines fail, improve test automation, and use code coverage to make better decisions about software quality and risk.
You'll turn a technically complex problem space into a focused strategy, roadmap, and developer experience. Working closely with Engineering and Design, you'll explore how agents can diagnose failures, recommend next steps, and help teams recover safely. The goal isn't to add artificial intelligence (AI) for its own sake. It's to reduce manual work and help developers get back to a safe, shippable state without losing trust or control.
At GitLab, our mission is simple: to enable everyone to contribute to and co-create the software that powers our world. You'll contribute to that mission by making testing and coverage insights more useful across the software development lifecycle.
What you'll do
• Define and communicate the Test & Code Coverage product vision, strategy, and outcome-focused roadmap, from discovery through a minimum viable product, beta, launch, and continued iteration.
• Identify customer problems across pipeline failure diagnosis, test automation, test optimization, code coverage, and recovery. Build the case for investment, prioritize foundational and customer-facing work, and reshape or stop initiatives that aren't creating value.
• Work with Engineering to understand pipeline failures caused by flaky tests, testing gaps, environment issues, configuration problems, and coverage blind spots. Connect code changes, tests, pipeline behavior, historical patterns, and risk to help developers find a diagnosis and an actionable next step.
• Work directly with customers to understand how they author, maintain, select, prioritize, and debug tests. Connect test selection, test impact analysis, code coverage, and pipeline intelligence to reduce flaky tests, shorten feedback loops, and focus testing effort where it lowers the most risk.
• Partner with Engineering and Design to prototype agent-driven workflows for failure diagnosis, test authoring and repair, optimization, coverage analysis, and recovery. Make actions reviewable through evidence, confidence, human approval, and safe paths to propose code changes and merge requests. Use AI tools in your own product work to investigate problems, explore code and data, prototype concepts, and accelerate learning.
• Define and measure outcomes such as time to diagnose, time to recover, failure recurrence, test signal quality, and developer confidence. Validate problems and solutions with customers and learn from production usage.
• Partner across Product, Engineering, Design, Quality, Developer Experience, Customer Success, Support, and Product Marketing to connect testing insights with code review, pipelines, and release decisions. Turn customer evidence into clear narratives that support adoption and future investment.
• Lead through clear written communication, prioritization, and product judgment. Influence senior stakeholders, establish repeatable discovery and measurement practices, and mentor other product managers.
What you'll bring
• Experience owning complex technical products, platforms, or developer workflows at Staff, Senior Staff, Principal, or equivalent scope, including building a new product or capability from initial validation through launch and adoption.
• Strong product fundamentals in customer discovery, problem framing, prioritization, roadmap development, outcome measurement, and iterative delivery.
• Technical fluency in one or more relevant areas, such as software testing, test automation, code coverage, continuous integration and continuous delivery (CI/CD), developer tools, DevOps, developer experience, quality engineering, or software delivery.
• An understanding of how engineering teams build, test, review, and ship software, and the ability to work with engineers on test architecture, pipeline behavior, code changes, data, integrations, reliability, and scale.
• Experience diagnosing technical problems and turning complex, noisy signals into clear user experiences and actionable workflows.
• Experience exploring AI or agent-driven solutions for developer workflows, with the judgment to distinguish useful automation from unsafe or low-confidence actions.
• Experience using customer conversations to understand problems and inform product decisions, communicating clearly in writing and conversation, and influencing across functions with s