Engineering Manager leading Governance & Access for Render, a developer - first cloud platform. Building identity, permissions, and agent - ready security primitives while scaling the team.
About the role
- Principal Product Manager for GitLab, leading engineering insight strategy and analytics platform development. Collaborating with teams to enhance decision-making with data-driven 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.
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
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