Principal Product Manager, Engineering Intelligence & Insights

GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity and accelerate digital transformation. As the Principal Product Manager for Engineering Intelligence & Insights, you will lead the product strategy to transform engineering data into decision-ready intelligence, shaping the roadmap and collaborating across teams to deliver impactful insights.

Responsibilities:

• 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

Requirements:

• 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