Drives responsible adoption of AI tools across an organization by running training, office hours, playbooks, and a champion network so teams actually use AI in their daily workflows.
skills
[change management][AI tool training and workshop facilitation][prompt/eval design for business users][cross-functional stakeholder management][building playbooks and role-based learning journeys][measuring adoption and impact]
pay
low:130000
high:180000
currency:USD
basis:base
seniority
lead
distinctFrom
Unlike an ML engineer or data scientist, this role builds no models; it is a people-and-process role focused on getting existing AI tools adopted, closer to enablement/L&D than to engineering.
Source refreshed: the original Axios posting (Built In NYC 8919109) was removed on Apr 15, 2026. The role is now widely posted and established; live US base bands cluster around $130K-$190K (Juniper Square $130K-$180K, Ridgeline $170K-$190K, IANS $144K-$180K), with senior/staff roles reaching higher (Grainger $164K-$295K). Pay anchored to the Juniper Square posting, which matches the enablement definition: AI-fluency training on Claude and Cowork, curriculum development, coaching, and adoption measurement.
