Principal Product Manager, Engineering Intelligence & Insights

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.

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.

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

Benefits to support your health, finances, and well-being

Flexible Paid Time Off

Team Member Resource Groups

Equity Compensation & Employee Stock Purchase Plan