Lead, Learning Architecture & AI Enablement

Details

GitLab is the intelligent orchestration platform for DevSecOps. GitLab embraces AI as a core productivity multiplier and expects team members to incorporate AI into daily workflows. This role will shape how GitLab team members learn and grow by owning the strategy and systems behind GitLab's global learning ecosystem, setting the learning platform roadmap, designing AI-powered learning experiences, and leading the enterprise AI fluency program from strategy through delivery.

Responsibilities

• Architect GitLab's AI-native learning ecosystem, including adaptive learning paths, coaching agents, bots, intelligent recommendations, and automated content workflows.
• Lead company-wide AI fluency and enablement strategy in partnership with the Enterprise AI team, from baseline literacy through builder capability.
• Embed AI fluency into onboarding, leadership development, and role-specific learning pathways.
• Own the multi-year learning platform strategy and roadmap, including platform evaluations, migrations, integrations, and capability expansions.
• Drive operational excellence across the Talent Management & Development team by managing the product roadmap, release schedule, intake processes, documentation, automations, and cross-functional coordination.
• Partner with People Technology as the technical lead for Talent Development, translating learner and business needs into architecture briefs and co-building agents, workflows, and platform integrations.
• Partner with People Analytics to define measurement infrastructure and dashboards for learning engagement, AI adoption, behavior change, capability growth, and program ROI.
• Lead global compliance training and vendor management, including audit readiness, negotiations, renewals, quarterly business reviews, budgets, adoption targets, and investment cases.

Requirements

• Experience leading enterprise-scale AI enablement or AI fluency programs at technology companies, with evidence of workforce adoption and capability growth.
• Hands-on experience designing and deploying AI agents, building intelligent workflows, working with large language model APIs, and integrating AI capabilities into enterprise platforms.
• Experience designing learning ecosystems that use AI for adaptive learning, intelligent recommendations, coaching, or automated content workflows.
• Experience building and owning multi-year technology and program roadmaps, communicating tradeoffs, and making investment decisions based on outcomes.
• Deep knowledge of learning technology ecosystems, including learning management system administration, platform evaluations, migrations, integrations, and vendor management.
• Ability to translate talent and learner needs into clear technical requirements and work with engineers on APIs, data structures, and integration patterns.
• Strong program management skills, including roadmaps, intake, release schedules, triage, documentation, and automation.
• Experience with instructional design, adult learning principles, analytics, executive communication, and global compliance training.

About the team

The Talent Management & Development team builds systems, programs, and learning experiences that help GitLab team members grow and contribute. This role serves as an operational and technical lead across the team's work, partnering with Enterprise AI, People Technology, People Analytics, Legal, Security, and external vendors to create a scalable, measurable, and AI-native learning ecosystem.

Compensation

• United States Salary Range: $1 - $1 USD (listed for United States residents; base salary only).

Benefits

• Benefits to support 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

Hiring & Policy Notes

• Locations listed for this posting: Remote, Canada; Remote, United States.
• GitLab hires new team members in many countries and all roles are remote; some roles may have location-based eligibility requirements. The Talent Acquisition team can answer location questions during recruiting.