Lead, Learning Architecture & AI Enablement
New
G
GitLabSoftware Development
Remote, Canada; Remote, USFull-TimeLead
Salary$1 — $1 USD
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Job Details
- Required Skills
- Artificial IntelligenceRESTful APIsData analyticsLLM
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 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.
Responsibilities
- 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.
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