Director of Engineering Analytics
Job Summary
As Director of Engineering, Analytics Platform & Products, you will lead the engineering strategy, architecture, and execution for GitLab's Analytics stage. You will manage multiple engineering teams to develop end-to-end analytics ecosystems, ranging from instrumentation and telemetry to customer-facing data products. This role requires close collaboration with cross-functional leadership to define multi-year technical roadmaps across SaaS and self-managed deployment environments.
Responsibilities
- Lead analytics engineering strategy and team health
- Define roadmaps for data platforms and customer products
- Oversee end-to-end data pipeline architecture and execution
- Align roadmap with cross-functional product and AI leaders
- Drive operational excellence and development standards
Required Skills
- Experience in Director-level engineering leadership
- Expertise in distributed systems and platform engineering
- Deep knowledge of end-to-end data pipelines
- Proficiency in SaaS and self-managed environment delivery
- Strong remote, cross-functional communication skills
Job Details
### Role Overview
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.
### Key Responsibilities
- Lead the Analytics engineering organization with accountability for strategy, architecture, execution, and team health.
- 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.
- Oversee the design and operation of end-to-end data pipelines, including instrumentation, ingestion, transformation, storage, serving, and product integration.
- 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.
- Champion asynchronous ways of working and AI-assisted development workflows to increase engineering focus and throughput.
### Qualifications
- 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 technical tradeoffs.
- 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.