An overview of this roleAs 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 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.
About the teamThe 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.
The base salary range for this role's listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$203,200-$345,600 USD
How GitLab Supports Full-Time Employees- 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
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
