# Director, Analytics Engineering at GitLab

- Company: GitLab
- What the company does: The intelligent orchestration platform for DevSecOps, enabling teams and agents to ship trusted software at enterprise scale. Backed by General Catalyst and Khosla.
- Company website: https://about.gitlab.com/
- Type: Startups
- Level: Principal and up
- Location: Remote, Canada; Remote, United States
- Work setup: Remote
- Posted: 2026-10-13
- Apply by: 2026-11-27
- Apply: https://job-boards.greenhouse.io/gitlab/jobs/8883003002?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/gitlab-director-analytics-engineering/

## About the role

As Director, Analytics Engineering, you'll lead a team of 8 and report to the VP of Data & Insights. You set direction across the data organization, stay close enough to the work to guide technical decisions credibly, and partner with Data Engineering, Data Science, IT, and business leaders. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Build and own a trusted semantic model, with governed metrics and business definitions, that answers business questions consistently across every tool
- Build evals and ground-truth datasets that measure answer quality, and use them to drive improvements and catch regressions
- Instrument telemetry to see who uses the semantic model and AI tools, what they ask, and where they get stuck
- Build a model-selection harness so GitLab can route work across LLMs and stay flexible on cost and quality
- Own data modeling and curated datasets for self-service, with the ownership, data contracts, testing, and documentation that make them AI-ready
- Define the AI data access strategy: when to use BI, Claude, MCP servers, or Slack agents, with the governance and security to keep access trusted and reliable

Tags: Data

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/gitlab-director-analytics-engineering/
