Principal Product Manager, Engineering Intelligence & Insights
Leads product strategy and execution for GitLab’s engineering analytics and insights platform, spanning data foundations, dashboards, and conversational AI experiences. The role requires experience with analytics products, software delivery metrics, data infrastructure, and cross-functional influence.
About the job
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 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 use connected, cross-lifecycle data.
- Design a tiered analytics experience spanning conversational AI discovery, out-of-the-box dashboards, and custom dashboard creation.
- Prioritize dashboards and insight workflows for software leaders, including deployment frequency, cycle time, value stream management, AI feature impact, and AI cost and ROI.
- Translate the needs of engineering leaders and executive users into product decisions and roadmap priorities.
- Enable sales, customer success, and data engineering teams to build, share, and use dashboards for customer-facing work and reporting.
- Drive a consistent analytics narrative across product, marketing, and analyst conversations through cross-functional partnership.
Requirements
- Experience defining product vision and driving execution across complex, multi-team product programs.
- Experience building analytics, dashboard, or business intelligence products for software engineering, DevOps, or technical leadership users.
- Knowledge of the software development lifecycle and 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.
- Ability to turn ambiguous customer problems into product requirements, prioritization decisions, and roadmap direction.
- Ability to influence engineering, design, sales, customer success, and data teams in a distributed environment without formal authority.
- Familiarity with AI-powered analytics experiences, conversational interfaces, knowledge graph concepts, or related data exploration approaches.
- Ability to bring transferable experience from adjacent product areas and speak fluently about data and customer workflows.
Benefits
- Flexible paid time off
- Team member resource groups
- Equity compensation and employee stock purchase plan
- Growth and development fund
- Parental leave
Skills
Data Analytics, Dashboards, Business Intelligence, Dora Metrics, Value Stream Management, Data Pipelines, APIs, Data Infrastructure, Business Intelligence Tooling, Artificial Intelligence, Conversational Interfaces, Knowledge Graphs, DevOps, Software Development Lifecycle, Customer Workflows
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