Technical AI Learning Facilitator

Who We Are Clarinet helps organizations operate in an AI-native way to get lasting business value from AI. We deliver across three pillars: Learn (fluency, leadership, assessments), Build (in-house agent capability), and Scale (advisory, change management, AI strategy). We were one of the first to offer AI enablement, which is now a line item in nearly every company's budget — and we're growing fast to meet the demand. We've worked with over 60 organizations, doubled revenue quarter over quarter, and evolved our offerings to keep pace with the space. Role at a Glance ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📍 Location: Remote · US-based (9am–6pm ET) · Availability for occasional travel and onsite work strongly preferred. 💼 Type: Full-time (open to 80% time with adjusted compensation for interested candidates) 💵 Compensation: $140,000 – $160,000 📅 Ideal Start Date: July 28, 2026 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ About the Role This role reports to the Head of AI Enablement Products You'll spend the majority of your time facilitating high-energy, hands-on workshops for SMBs and scale-ups. Sessions are dynamic, demo-heavy, and designed to read and respond to the room. We move fast. Content is updated constantly to keep pace with model releases and what we're learning from clients, sometimes within the same week. New workshops show up on the roadmap with weeks of lead time, not months. The right person finds that energizing rather than disorienting. When not facilitating, you'll be staying current on AI, learning new content as it ships and contributing back to it from what you see in the room, supporting client relationships, improving how we work, and helping with marketing and external presence. This Role Is for You If You have a deep understanding of the tools and the underlying mindsets and habits people need to actually change how they work. You bring real grounding in behavioral science and the psychology of change — you don't just know how to set up an automation, you can tell which automations will help and which are just creating new problems to replace old ones. You possess a builder-level AI fluency. You understand model logic, architecture, and how systems connect. You bring real grounding in workflow automation, systems integration, and advanced prompt engineering paradigms — you know how to construct robust, resilient automated pipelines and write the tool definitions that make them work. You thrive in ambiguity. You're comfortable being told "we're standing this workshop up by next week, here's the outline, report back on how it goes" — and you can shape it as you teach it. You model learning agility, not just expertise. You're willing to show your messy first prompt before the polished one, and audit your own AI use live. You hold the bar for your own work and bring sharp ideas to others'. You take feedback and apply it on the next session. When your idea doesn't land, you…