Director of Engineering, Analytics Platform & Products
About the role
An overview of this role
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.
What you’ll do
- 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 teams to deliver a cohesive analytics experience.