Engineering Manager, Data Foundations

As Engineering Manager at GitLab, you’ll manage and grow a high-performing engineering team within the Data Foundations group, working on a core data platform that ingests, processes, persists, and queries data streams generated across GitLab.

Responsibilities:

• Hire, manage, and enable a high-performing Data Insights Platform engineering team, creating an environment where team members can do their best work and deliver strong results.
• Partner closely with product managers, product designers, and peer engineering managers to define and deliver the roadmap for Data Insights Platform (DIP) and related Platform Insights initiatives.
• Own delivery for your team, including planning, prioritization, execution, and operational follow-through across architecture work, platform improvements, and production readiness.
• Guide the technical design of distributed data-path components, including ingestion, buffering, enrichment, exporting, and querying.
• Help the team design safe and scalable integrations with the GitLab monolith.
• Drive a high bar for security, privacy, and governance in how platform data is handled.
• Improve operational maturity across the platform, including observability, metrics, logging, readiness, capacity planning, performance monitoring, and clear runbooks for managed environments.
• Collaborate asynchronously across teams and functions to help GitLab land customer-facing reporting capabilities on top of a strong, scalable data foundation.
• Lead the design and evolution of the platform with a focus on modular architecture.

Requirements:

• Experience managing platform, infrastructure, or data systems teams at scale.
• Deep distributed systems expertise.
• Strong technical background in backend and platform engineering.
• Experience with technologies and patterns relevant to this space.
• Ability to hire, develop, and coach team members.
• Strong cross-functional collaboration skills.
• Experience building or operating systems across multiple deployment models.
• Strong written communication skills.
• Familiarity with search, indexing, and query-serving systems is a strong plus.

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