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.

The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.

*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.

An overview of this role

You will lead the product strategy for GitLab's next generation of engineering insight, helping software leaders, engineering managers, CTOs, and CPOs understand not just what their teams shipped, but why, and what to do next. As Principal Product Manager, Engineering Intelligence & Insights, you will shape how GitLab turns engineering data into decision-ready intelligence: the core data infrastructure and knowledge graph integrations that connect it, the out-of-the-box dashboards customers rely on today, and the conversational AI experiences that let leaders simply ask a question and get an answer instead of building a report. This is a high-impact role with broad scope across product and platform work. Success in your first year means setting a clear roadmap, aligning teams around the vision, and shipping insight experiences customers actually use to make better decisions, not just look at.

Projects in this space include building dashboards for DORA metrics, value stream performance, AI adoption, and AI cost and ROI analysis.
Projects in this space include developing conversational AI interfaces and extensible dashboard tooling on top of GitLab's analytics platform.

What you'll do

Define the multi-horizon roadmap for GitLab's data analytics and insights platform, balancing immediate customer needs with long-term platform investment and setting clear success measures for roadmap delivery and customer adoption.
Partner with engineering leaders to shape core platform capabilities, including data pipelines, storage, and APIs, that support analytics experiences across GitLab.
Collaborate with the Knowledge Graph product team so insight experiences are powered by connected, cross-lifecycle data rather than isolated project metrics.
Design a tiered analytics experience that meets customers where they are: conversational AI discovery for a fast answer, out-of-the-box dashboards for recurring needs, and custom dashboard creation for teams that want full control. Reduce time to insight as customers grow.
Prioritize dashboards and insight workflows for software leaders so they can measure deployment frequency, cycle time, value stream management, AI feature impact, and AI cost and ROI in GitLab.
Champion the needs of engineering leaders and executive users, translating how they actually consume data, often live in a meeting under time pressure, into product decisions and roadmap priorities.
Enable internal teams such as sales, customer success, and data engineering to build, share, and use dashboards that support customer-facing work and improve the speed and consistency of customer reporting.
Drive a clear and consistent analytics narrative across product, marketing, and analyst conversations through close cross-functional partnership, improving launch readiness and market understanding.

What you'll bring

Experience defining product vision and driving execution across complex, multi-team product programs.
Background building analytics, dashboard, or business intelligence products for software engineering, DevOps, or technical leadership users.
Knowledge of the software development lifecycle and common engineering performance measures such as DORA metrics, value stream metrics, and cycle time.
Working understanding of data infrastructure, data pipelines, APIs, and business intelligence tooling, with the ability to partner effectively with data engineering teams.
Ability to turn ambiguous customer problems into clear product requirements, prioritization decisions, and roadmap direction.
Skill influencing across engineering, design, sales, customer success, and data teams in a distributed environment without relying on formal authority.
Familiarity with AI-powered analytics experiences, conversational interfaces, knowledge graph concepts, or related data exploration approaches.
Comfort bringing transferable experience from adjacent product areas if you have worked on technically complex products and can speak fluently about data and customer workflows.

About the team

This team builds the analytics and insights capabilities that help customers understand software delivery performance within GitLab. The work spans platform foundations and user-facing experiences, bringing together product, engineering, and partner teams to support dashboards, connected data, and emerging AI-based ways to explore insight. The team works asynchronously across regions and collaborates closely with adjacent groups, including data-focused platform teams and the Knowledge Graph team, to solve a shared challenge: turning complex engineering data into clear, useful information for technical and executive decision-makers.

How GitLab Supports Full-Time Employees

Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.

Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.

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GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

Principal Product Manager, Engineering Intelligence & Insights at Gitlab - PM Job Opening