[Hiring] Lead, Learning Architecture & AI Enablement @GitLab

Role Description

GitLab is looking for an innovative leader to shape how our team members learn and grow. As Lead, Learning Architecture & AI Enablement, you'll own the strategy and systems behind GitLab's global learning ecosystem. You'll set the learning platform roadmap, design AI-powered learning experiences, and lead our enterprise AI fluency program from strategy through delivery.

Your work will move GitLab beyond traditional learning management system infrastructure and build a scalable learning ecosystem that supports capability growth, measures impact, and connects with our broader enterprise technology stack.

What you’ll do

• Architect GitLab's AI-native learning ecosystem, including adaptive learning paths, coaching agents, bots, intelligent recommendations, and automated content workflows.
• Lead GitLab's 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 return on investment.
• Lead global compliance training and vendor management, including audit readiness, negotiations, renewals, quarterly business reviews, budgets, adoption targets, and investment cases.

Qualifications

• 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 application programming interfaces, 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 application programming interfaces, 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.

Benefits

• Flexible Paid Time Off
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and Development Fund
• Parental Leave