GitLab

GitLab

Principal Product Manager, Engineering Intelligence & Insights

Remote, Canada; Remote, US · Principal · Full-time

Sponsorship not specifiedDetected 20 days ago
GitDevOpsData AnalysisData EngineeringProduct ManagementProduct StrategyRecruitingIntellectual PropertyCustomer SuccessLeadership

About the role

  • 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.

Responsibilities

  • 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.
  • 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.
  • Background building analytics, dashboard, or business intelligence products for software engineering, DevOps, or technical leadership users.
  • Working understanding of data infrastructure, data pipelines, APIs, and business intelligence tooling, with the ability to partner effectively with data engineering teams.
  • 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.

Compensation

  • Equity Compensation & Employee Stock Purchase Plan

Benefits

  • 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.
  • Experience defining product vision and driving execution across complex, multi-team product programs.

Company info

  • 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.
  • 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
  • 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.

Equal opportunity

  • GitLab is proud to be an equal opportunity workplace and is an affirmative action employer.
  • See also GitLab's EEO Policy and EEO is the Law.

Visa & Work Authorization

  • 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 med

This listing is sourced directly from GitLab's careers page and normalized into a canonical job model.