Specific Responsibilities
Pedagogical Direction
Guide the pedagogical decisions across the platform – input at design time, learning-efficacy judgment at eval time.
Adapt and interpret the ALX learning framework so the platform is informed by real pedagogy rather than decorated with it.
Experimentation & Product Collaboration
Design experiments against the platform's core pedagogical assumptions, run with our experimentation function – for example, is the tutor guidance helping learners or crutching them?
Assist in designing and evaluating the AI products alongside engineers, translating learning science into concrete product decisions.
Skill Requirements - Essential
Learning science: solid grounding – you can cite and apply modern frameworks, not just intuitions from teaching.
AI literacy: you understand what LLM-based tools can and can't do, well enough to co-design them with engineers.
Experiment design: hypotheses, measures, and enough methodological rigour to test learning claims honestly.
Desirable (not required): prior EdTech product work; familiarity with competency frameworks or knowledge tracing; experience with African education contexts.
Essential Traits for Success
Your instinct is to challenge the team's assumptions, including the technical lead's – that's the job.
You translate across disciplines without friction and enjoy being embedded in an engineering team.
You can describe a pedagogical belief you cha
