This listing doesn't post a salary. Most similar roles pay
$173,175–$246,334.
Based on 240 similar postings.
Employer
About GitLab
GitLab is an all-remote software company that develops an AI-powered DevSecOps platform combining source code management, CI/CD, security scanning, and project planning in a single application.
GitLab currently has
79 open roles
on FindRole.
Listed pay typically runs
$137,400–$213,600
across 61 roles with salary data.
As Principal Product Manager, Engineering Intelligence & Insights, you will lead the product strategy for GitLab's next generation of engineering insights to help software leaders understand delivery performance and make informed decisions. You will define multi-horizon roadmaps for data analytics platforms, manage core infrastructure like data pipelines and APIs, and collaborate with Knowledge Graph teams to connect cross-lifecycle data. Your daily work involves building out-of-the-box dashboards for DORA metrics, value stream performance, and AI cost analysis, while developing conversational AI interfaces for rapid discovery. You will translate complex engineering data into actionable intelligence using tools like knowledge graphs and analytics platforms. The role requires expertise in the software development lifecycle, business intelligence tooling, and experience building products for DevOps or technical leadership users to solve the challenge of turning raw engineering data into clear information.
What does a Product Manager earn in Remote?
Median $207754 from 108 postings across 33 companies.
Define and manage the multi-horizon roadmap for GitLab's data analytics and insights platform.
Partner with engineering leaders to shape core infrastructure including data pipelines, storage, and APIs.
Collaborate with the Knowledge Graph team to power insights with connected, cross-lifecycle data.
Design a tiered analytics experience featuring conversational AI, out-of-the-box dashboards, and custom tools.
Prioritize workflows for software leaders to measure DORA metrics, value stream performance, and AI ROI.
Translate executive user needs into product requirements and roadmap priorities.
Enable internal teams like sales and customer success to build and share consistent reporting tools.
Drive a consistent analytics narrative across marketing, product, and analyst channels.
What we're looking for
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 metrics such as DORA, value stream, and cycle time.
Working understanding of data infrastructure, data pipelines, APIs, and business intelligence tooling.
Ability to translate ambiguous customer problems into clear product requirements and roadmap direction.
Skill influencing across engineering, design, sales, customer success, and data teams in a distributed environment.
Familiarity with AI-powered analytics experiences, conversational interfaces, knowledge graph concepts, or related data exploration approaches (preferred).
Comfort bringing transferable experience from adjacent product areas for technically complex products and data workflows (preferred).
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