Lead Learning Engineer

About the role

As a Lead Learning Engineer at Faculty, you’ll ensure our AI-powered education solutions are grounded in learning science, measurably effective, and set a global standard for education innovation and excellence. You will set the strategy for learning design and evaluation, drive the creation and adoption of our Learning Engineering Playbook, and ensure our products genuinely improve how people learn.

Working closely with senior leadership and cross-functional teams, you will architect scalable, data-rich learning systems and guide others to embed best-in-class learning science into our product development.

What you'll be doing

• Leading the design of learning goals, skill models, adaptivity logic, and feedback systems across flagship education projects.
• Creating and owning Faculty’s Learning Engineering Playbook, defining best practices for scaffolding, feedback loops, measurement rubrics, and data instrumentation (i.e., how we track learning progress through user interactions).
• Designing and overseeing rigorous evaluations including formative, summative, and quasi-experimental studies to test product effectiveness and improve learning outcomes.
• Collaborating with product, data science, and engineering leads to co-architect learning systems that are technically robust and pedagogically sound.
• Coaching and mentoring Learning Engineers and cross-functional colleagues (PM, UX, DS) to apply learning science principles in day-to-day product decisions.
• Acting as the internal and external subject matter expert on learning science, representing Faculty in strategic conversations with senior clients.

Who we're looking for

• You have expert-level knowledge of learning sciences, instructional design, and cognitive or behavioural science.
• You’ve led the design and evaluation of complex digital learning systems, especially adaptive or AI-driven tools at scale.
• You bring deep expertise in defining data instrumentation and running robust evaluation strategies to measure learning impact (e.g., mastery, retention, transfer).
• You can partner confidently with data scientists and engineers to design adaptive systems and telemetry pipelines rooted in pedagogy.
• You’re an excellent communicator with the ability to influence senior stakeholders and guide product strategy through the lens of learning science.

Our Interview Process

Talent Team Screen (30 minutes)

Project Review (60 minutes)

Case Study Interview (60 minutes)

Culture and Leadership (60 minutes)

Our Recruitment EthosWe aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.