Director of Engineering, Analytics Platform & Products

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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 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 Team

The 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.

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GitLab’s EEO Policy

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Accommodation

, please let us know during the

recruiting process

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