Director of Engineering Analytics Platform & Products

As Director of Engineering Analytics Platform & Products you will lead the engineering strategy architecture and execution for GitLab's Analytics stage. This organization powers GitLab's analytics ecosystem end to end from instrumentation and telemetry through data movement storage and serving to customer-facing analytics experiences. You will help shape how GitLab and its customers measure adoption engineering health and business impact across SaaS self-managed and air-gapped deployments. Reporting into senior engineering leadership you will lead through Engineering Managers and partner closely with Principal Engineers Product Data and AI leaders to set a multi-year direction and build the next generation of analytics platforms and data products.

You will have broad scope across data platforms product analytics and distributed systems with clear ownership for team health technical direction and delivery. In your first year you'll guide the roadmap across instrumentation data foundations and data products strengthen the architecture that supports multiple deployment models and help scale the organization as we continue to invest in new analytics capabilities.

• Lead the Analytics engineering organization with accountability for strategy architecture execution and team health with success measured through roadmap delivery service reliability and organizational effectiveness.
• Guide Engineering Managers and partner with Principal Engineers to set technical direction and support key architectural decisions.
• Define the roadmap for analytics capabilities across instrumentation data foundations and customer-facing data products with success measured through adoption usage and customer value.
• Oversee the design and operation of end-to-end data pipelines including instrumentation ingestion transformation storage serving and product integration with accountability for data quality freshness latency and reliability.
• Drive platform and architecture decisions that support GitLab's SaaS self-managed and regulated or isolated deployment environments.
• Collaborate with Product UX Infrastructure Data and AI leaders to align roadmap architecture and execution.
• Build a high-performing engineering organization with clear ownership strong operational discipline and a consistent technical standard that improves delivery predictability operational health and technical quality.
• Champion asynchronous ways of working and AI-assisted development workflows that increase engineering focus throughput and delivery quality.

• Experience leading multiple engineering teams through managers in a Director-level or comparable engineering leadership role.
• Strong knowledge of distributed systems and large-scale platform engineering.
• Deep understanding of end-to-end data pipelines analytics platforms and the technical tradeoffs involved in building them.
• Ability to engage deeply in architecture system design and technical discussions with senior and principal engineers.
• Experience delivering platforms across SaaS self-managed and regulated or isolated environments.
• Commitment to engineering practices such as test-driven development continuous delivery and modular architecture.
• Strong cross-functional communication and leadership skills in a distributed remote-first environment.
• Interest in transferable experience from adjacent areas such as product analytics instrumentation observability or privacy-conscious analytics systems.

The Analytics Stage team owns GitLab's analytics platform and analytics product surface. The organization includes Data Products Instrumentation and Data Foundations and builds the systems that turn product usage billing and cost data into trusted instrumentation scalable data foundations queryable APIs dashboards and customer-facing analytics experiences. We work asynchronously across regions and partner closely with Product Data UX Infrastructure and AI to solve challenges in scale privacy reliability and deployment flexibility across SaaS self-managed and air-gapped environments. For more on how we work see the team page. 

What We Do

GitLab is the Intelligent Orchestration Platform where software teams and their AI agents stay in flow to amplify their capacity for innovation. Together they automate repetitive tasks to plan build secure test deploy and maintain software. With GitLab software teams spend less time on coordination overhead and more time on the next big idea.What started in 2011 as an open source project to help one team of programmers collaborate is now the intelligent orchestration platform millions of people use to deliver software faster more efficiently while strengthening security and compliance.Since the beginning we've been firm believers in remote work open source DevSecOps and iteration. We get up and log on in the morning to work alongside the GitLab community to deliver new innovations every month that help teams and their AI agents ship great code faster.

Why Work With Us

GitLab is where careers accelerate innovation flourishes and every voice is valued. Co-create the future with us as we build technology that transforms how the world develops software.

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