Director of Engineering, Analytics Platform & Products

🔥 13 hours ago

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GitLab

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Secondary Market on 2020-11

Artificial Intelligence • Enterprise • SaaS

GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Benefits to support your health, finances, and well-being • Flexible Paid Time Off • Team Member Resource Groups • Equity Compensation & Employee Stock Purchase Plan • Growth and Development Fund • Parental Leave