Multiverse - Technical Instructional Designer (AI Programmes)

• Real command of end-to-end ADDIE and backward design — you've built measurable, job-aligned outcomes and the assessments that prove learners hit them, not just theoretical frameworks on a CV. • A habit of treating "good enough" as a starting point, not a finish line — you notice when learning isn't driving real outcomes, and you take the initiative to fix it. • Genuine fluency with AI-powered tools and prompt engineering, used to accelerate content development and find genuinely new applications in Data/AI learning design. • The ability to take a genuinely complex AI, Data Science, or Analytics concept and design a learning experience around it that actually works — for someone with zero technical background. • The confidence and track record to influence peers and senior stakeholders toward a specific, measurable curriculum improvement — not just raise a concern and move on. • Resilience when things don't go to plan — you can point to a time a project hit a real obstacle (a blocker, a shifting SME, a launch that missed the mark) and describe exactly what you did about it, and what you learned. • WHAT GETS YOU IN THE DOOR • You'll need at least one of these: • Hands-on experience producing technical content for Data Science or generative/agentic AI. • 2+ years designing instructional content in a commercial environment or for commercial clients. • A Data Science degree (or close cousin of one) • Completion of a technical apprenticeship in Data or AI • 2+ years working as a practitioner in Data or AI • If you're a strong technical practitioner who's never formally studied instructional design, or a seasoned learning designer who's spent the last year deep in AI tools — either path can get you here. We're looking for the judgment, not a checklist. • WHAT WE'LL ACTUALLY EXPLORE TOGETHER • We're upfront about what our process looks for, because we'd rather you come prepared to talk about the real thing than guess what we want to hear. Across the conversations, we'll dig into: • Advanced curriculum & applied design — how you turn an end-to-end backward-design process into measurable, job-aligned outcomes, and how you build creative assets that genuinely need a human touch. • Impact & excellence — what you do when a piece of learning isn't hitting its real-world mark, and how you weigh speed against building something built to last. • AI integration & innovation — where and how you've put AI tools and prompt engineering to work, and what that's actually unlocked. • Influence & stakeholder management — how you've moved a curriculum forward through a genuine disagreement or feedback conversation, not just delivered a good pitch. • Coachability & resilience — how you've handled a launch that didn't land, or a project blocker outside your control, and what you changed as a result.