Principal Product Manager, Engineering Intelligence & Insights

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GitLab

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Secondary Market on 2020-11

Artificial Intelligence • Enterprise • SaaS

GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.

📋 Description

• 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.

🏖️ Benefits

• Benefits to support your health, finances, and well-being • Flexible Paid Time Off • Team Member Resource Groups • Equity Compensation & Employee Stock Purchase Plan • Growth and Development Fund • Parental Leave