AI Enablement Lead Jobs

› Enablement role building AI fluency across an ad-tech org — you launch training programs, launch an AI Guild, and own adoption metrics, not the platform.

› Enablement lead role building AI capability across a 10-department org — you own the champion network, skills framework, and training program, with light prototyping when teams get stuck.

› Enablement seat getting AI tools actually adopted across teams — you audit workflows, build training, and translate AI for non-technical folks; light on building, partner with tech team for custom solutions.

› Enabling business teams to actually use AI — design sprints, training, and prototyping that transfers capability, not production infrastructure. You build to teach, not to own.

› Enablement role bridging AI tools and construction teams — you spend 60-80% on jobsites, coaching PMs and superintendents to actually use the tools, not building the tools themselves. Light on dev, heavy on field work and adoption.

› GTM analyst role where you build AI workflows and enable your team to use them — light on dev, heavy on training and adoption.

› Embedded AI enablement role in construction tech — you build Claude skills and automations for ops, finance, and sales, then train those teams to own the work after you ship it.

› Embedding IC role that builds and enables AI capability across business teams — you reimagine workflows with agents and train teams to own them, not hand off to engineering.

› AI adoption and capability-building seat — you identify AI opportunities across business functions, deploy tools with teams, and build the internal frameworks and playbooks for scaling adoption.

› Enterprise AI adoption role at a major apparel brand distributor — you build rollout programs, literacy training, and use-case pipelines, not production AI systems.

› AI adoption role in finance ops — you build learning pathways, playbooks, and champions networks so non-technical employees ship AI prototypes, not production systems.

› Customer success role owning AI adoption and capability building across enterprise accounts — you train champions and run workshops, not build product.

› Enablement-focused PM role — you're the AI champion teaching non-technical staff, building training programs, and managing rollout, not engineering AI systems. Light prototyping with Replit/Lovable OK, deep coding not expected.

› Customer-facing AI adoption role helping enterprise clients translate workflows into agentic outcomes — heavy on workshops, prompting, and rollout, light on writing production code.

› Enablement role driving AI adoption across Jefferies' Equity Research team — heavy on training, hands-on coaching, and low-code tooling, light on dev work.

› Internal enablement role training teams, finding use cases, and prototyping agent workflows with enough technical depth to be credible.

› Internal AI ops role building tools, prompt libraries, SOPs, and adoption loops across company functions.

› Enablement role teaching client teams to keep working with AI through workshops, coaching, plugins, and reusable playbooks.

› Builds LLM workflows and leaves teams able to run them, prompt engineering and agent debugging included.

› Consultant role building AI playbooks, competency rubrics, and adoption dashboards for GTM and ops teams.

› CX AI role turning service workflows into intents, escalation logic, knowledge systems, and voice/chat automation.

› Customer-facing deployment role turning LLM capability into report workflows through prompt design and technical guidance, without production code.

› Teaches Claude and ChatGPT at operator depth, building prompt libraries, workflow demos, and role-specific training.

› Builds internal AI capability through champions, workflow-mapping workshops, and training for no-code agent platforms.

› Customer-facing adoption role building champion communities, workshops, and trainer programs around enterprise AI use cases.

› Enterprise enablement manager building AI training, communications, and adoption programs across a large business organization.

› Onboarding leadership role for legaltech customers, more about SaaS implementation teams than hands-on AI workflow craft.

› Early AI enablement role helping coworkers learn tools, prompts, and use cases across business functions.

› Leads the team turning legal AI onboarding into repeatable playbooks, adoption metrics, and customer change management.

› Employee enablement role coaching teams on Copilot, prompt patterns, and practical AI use inside day-to-day business work.

› Turns enterprise AI rollouts into workshops, champion networks, and trainer programs, heavy on adoption, light on dev.

› Focuses on the critical post-sale phase of AI adoption, ensuring customers are fluent and extracting value.

› Hands-on enablement role embedding with teams to build AI automations, drive tool adoption, and turn proven workflows into playbooks.

› Internal enablement role helping non-engineering teams adopt AI tools, build useful workflows, and compound agent performance over time.

› GTM operations role building agentic workflows, context layers, and enablement systems for sales, marketing, and customer success teams.

› Embedded enablement role co-building AI workflows with teams and measuring adoption impact across a broad entertainment business.

› This role focuses on GPT, Prompt Engineering, AI Workflows, AI Agents to drive business value without requiring deep SWE expertise.

› Classic AI enablement role at a leading AI platform company (Writer), focusing on enterprise transformation and adoption playbooks.

› Customer-facing enablement role owning onboarding, training, and adoption for AI legaltech workflows across midmarket law firm customers.

› High-touch adoption role focusing on training and implementation of AI workflows in a non-technical industry (construction).

› High-level adoption and enablement role for an AI-native organization.

› Interesting 'applied AI' role in a non-traditional tech field (manufacturing/maintenance).

› An enablement role focused on the practical application and operationalization of AI in a CX context.

› Recently posted role for Cresta seeking an AI Enablement.

› Expertly sources a AI Enablement role focused on Sr. Manager, AI Enablement where AI fluency is the core requirement over traditional coding.

› Strong fit for EvenUp - focus on ai enablement/adoption.

› Strong fit for Harvey - focus on enablement lead.

› Strong fit for OpenAI - focus on ai enablement/adoption.

› A heavy-weight leadership role that requires being hands-on with AI tools (agent building) to lead by example.

› This is the quintessential Vibepiratebay role: purely focused on workflow mapping, prompt engineering, and enablement content.