About the role
- We are looking for a AI Instructional Designer: a rare hybrid of forward-deployed operator, field researcher, learning designer and AI power-user. This is a hands-on, on-site role: you will embed inside our corporate design partners, sit with the people doing the work, and make their teams genuinely master AI.
- You will also be Raison’s eyes and ears in the field. You will own research and discovery: how teams actually work, what blocks the less AI-fluent majority, what makes a skill transfer from one person to another, and feed those insights straight into the product roadmap.
- As one of the first key hires and a close collaborator to the founders, you will own the success of our earliest customer deployments: the single most important proof point in the company right now, and build/scale the playbook for how organizations reach 100% AI mastery. If you are somewhere between a trainer, a builder, a psychologist and a consultant, this job is for you.
What you will do
In the field Enablement
- Embed inside Raison corporate customers and design partners; sit next to real teams and make individual people measurably better with AI.
- Identify each team's AI champions, capture the workflows and prompts that genuinely create value and turn them into clear, reusable, governed skills.
- Design and run the enablement that gets the other 90% (the less AI-fluent) to adopt those skills in the flow of their real tasks, with the right contextual nudge at the right moment, and the right training modules.
- Own each pilot end-to-end and instrument the proof: reuse rates, spontaneous pull, time saved, mastery progression, employee sentiment.
User Research & Discovery
- Own field research: contextual inquiry, user interviews, and observation of how teams actually work with AI and where it breaks.
- Build and maintain a deep understanding of our core users - individual contributors, champions, managers, and corporate buyers - and the context they operate in.
- Synthesize messy field data into sharp, actionable insight: jobs-to-be-done, adoption blockers, and the conditions under which a skill transfers between people.
- Establish a continuous discovery habit so research is a foundational reflex and champion the user's perspective in every product decision.
Product & Training Design
- Be the tightest feedback loop between the field and engineering: everything you do by hand today is the spec for what the product must automate tomorrow.
- Work hand-in-hand with our AI product engineers so your field learnings ship as features, then get re-tested at the next pilot.
- Contribute designing Raison’s hyper-personalized AI training offers, based on your unique customer insights and individual preferences.
Your profile