Original listing text, shown exactly as published by the company.
About the role
As a Learning Engineer at Faculty, you’ll help shape how AI transforms education. You’ll design the learning logic behind our most innovative education products defining goals, feedback, scaffolding, and adaptivity to drive significant improvements in learning outcomes.
Working at the intersection of learning science and product design, you’ll bridge the gap between academic research and real-world application, ensuring our tools are not just engaging, but measurably effective at scale.
What you'll be doing
- Defining clear learning goals and skill models, then breaking them down into scaffolded tasks, feedback loops, and adaptivity logic for the product team.
- Identifying what we need to measure (e.g., mastery, engagement, retention) and working with data teams to ensure our products track the right learning behaviors.
- Leading user testing and formative studies to test early prototypes, and collaborating with data scientists to review performance data once live.
- Acting as the voice of "Learning Science" within product teams—translating pedagogical principles into clear specifications for UX designers ,data scientists and engineers
- Contributing to Faculty’s Learning Engineering Playbook—creating checklists, design patterns, and templates to support consistency across projects.
- Supporting teams in applying learning science best practices through collaborative design workshops and guidance.
Who we're looking for
- You have a strong background in learning sciences, instructional design, educational psychology, or a related field.
- You understand how to balance learning principles with real product constraints (UX feasibility, technical constraints, timelines).
- You have a portfolio of digital learning experiences and understand the constraints and opportunities of building software products (e.g., LMS, Apps, EdTech tools).
- You are comfortable working with data. You understand how to define success metrics and can interpret reports to make evidence-based design decisions.
- You’ve collaborated closely with UX / UXR teams and can translate learning logic into user flows, prototypes, and interaction patterns.
- You are comfortable with experimentation (A/B tests, early prototype testing, formative evaluation)
- You are a clear communicator who can translate academic concepts (like "cognitive load" or "zone of proximal development") into practical, actionable tickets for engineering and design teams
- This is not a content-creation or e-learning production role. We are looking for someone with experience designing learning systems, not just courses.
Our Interview Process
Talent Team Screen (30 minutes)
Project Review (60 minutes)
Case Study Interview (60 minutes)
