Director of Engineering, Analytics Platform & Products

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 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.

What you’ll bring

• 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.