Principal Product Manager, Engineering Intelligence & Insights at GitLab (Canada, United States)

GitLab

3 weeks ago

Principal Product Manager, Engineering Intelligence & Insights

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead the product strategy for a next-generation engineering insights platform, turning engineering data into decision-ready intelligence. Drive a multi-horizon roadmap for analytics and knowledge graph integrations, out-of-the-box dashboards, and conversational AI experiences that reduce time to insight. Partner with engineering, data, and the Knowledge Graph team to deliver measurable customer adoption—supporting DORA/value stream performance, AI impact, and AI cost/ROI analysis.

Location: Canada, United States

Workplace: Remote

Employment Type: Full time

Job Function: Product Management

Seniority: Sr. Manager level

Key Responsibilities

•Define a multi-horizon roadmap for the data analytics and insights platform with clear success measures for delivery and customer adoption.
•Partner with engineering leaders to shape core platform capabilities including data pipelines, storage, and APIs to support analytics experiences.
•Collaborate with the Knowledge Graph product team so insight experiences are powered by connected cross-lifecycle data.
•Design tiered analytics experiences spanning conversational AI discovery, out-of-the-box dashboards, and custom dashboard creation.
•Prioritize insight workflows for software leaders and enable internal teams to build and use dashboards for customer reporting.

Pay and Benefits

Perks:Paid LeaveEquityLearning BudgetParental Leave

Key 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 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.

Experience:DevOpsData analyticsBusiness intelligenceDevSecOps

Skills:Cross-functional collaborationProduct leadershipRoadmap executionInfluencing without authority

Languages:English

Tech Stack:Data pipelinesAPIsDashboardsKnowledge graphBusiness intelligenceAnalytics platformConversational AI

Company Brief

GitLab

Provides a single application for the complete DevSecOps lifecycle, offering source code management, CI/CD, security, and collaboration tools to help teams deliver software faster and more securely.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 250M to 500M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2011

Website LinkedIn

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GitLab

3 weeks ago

Principal Product Manager, Engineering Intelligence & Insights

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Canada, United States

Workplace: Remote

Employment Type: Full time

Job Function: Product Management

Seniority: Sr. Manager level

Key Responsibilities

•Define a multi-horizon roadmap for the data analytics and insights platform with clear success measures for delivery and customer adoption.
•Partner with engineering leaders to shape core platform capabilities including data pipelines, storage, and APIs to support analytics experiences.
•Collaborate with the Knowledge Graph product team so insight experiences are powered by connected cross-lifecycle data.
•Design tiered analytics experiences spanning conversational AI discovery, out-of-the-box dashboards, and custom dashboard creation.
•Prioritize insight workflows for software leaders and enable internal teams to build and use dashboards for customer reporting.

Pay and Benefits

Perks:Paid LeaveEquityLearning BudgetParental Leave

Key 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 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.

Experience:DevOpsData analyticsBusiness intelligenceDevSecOps

Skills:Cross-functional collaborationProduct leadershipRoadmap executionInfluencing without authority

Languages:English

Tech Stack:Data pipelinesAPIsDashboardsKnowledge graphBusiness intelligenceAnalytics platformConversational AI

Company Brief

GitLab

Provides a single application for the complete DevSecOps lifecycle, offering source code management, CI/CD, security, and collaboration tools to help teams deliver software faster and more securely.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 250M to 500M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2011

Website LinkedIn