Head of Learning $200,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks
Description
You should pursue this position if you are an academic leader who prefers to design the system rather than critique it from the sidelines. Your subject-matter fluency enables you to recognize high-quality learning experiences, your rigor allows you to codify that recognition into rubrics and AI-driven quality mechanisms, and your pragmatism empowers you to respond quickly to imperfect data. Student improvement matters to you, and you accept being evaluated on that metric.
2 Hour Learning pursues an objective the broader software and education industries seldom undertake. Teachers, textbooks, and the familiar scaffolding of traditional instruction are absent from the product. AI serves as the operational foundation. In this capacity, you leverage it to produce and refine learning content, architect interventions, oversee quality standards, and advance the platform continuously. The tempo resembles high-performance technology, consulting, or finance more than traditional education, and the reward is direct accountability for student outcomes in your subject across multiple campuses.
This position centers on operating a function. You will construct AI-powered enhancements to the learning ecosystem, react to student-performance data with focused interventions, produce evidence-grounded decision records, and lead a team measured against explicit benchmarks tied to MAP, AP, SAT, and ISEE performance. You will also collaborate closely with product, engineering, and data science teams to shape platform priorities. It suits someone who gravitates toward AI, conducts analysis independently, delivers under uncertainty, and accepts full ownership of results. It will frustrate anyone who favors consensus-driven timelines, minimal accountability, or the security of established systems.
You will serve as a key leader within the academics organization, wielding genuine influence over your subject's performance and the evolution of the broader learning infrastructure. Your colleagues will depend on your standards, judgment, and capacity to translate student data into action. If that prospect feels energizing rather than daunting, you are likely the candidate this role is designed for.
What you will be doing
- Learning Ecosystem Enhancements — AI-generated refinements to subject-specific K–12 learning experiences spanning content, adaptive pathways, and student interventions, shaped by student feedback, analytics, assessments, and coaching observations.
- Data-Driven Academic Interventions — Focused intervention strategies for underperforming students or cohorts, guided by MAP, AP, SAT, ISEE, and comparable performance metrics.
- Student Performance Decision Records — Repeatable, evidence-supported decisions that document actions taken to improve student performance, backed by dashboards, analytics, tickets, surveys, coaching interactions, and assessment results.
- Learning Ecosystem Improvement Specs — Implementation-ready specifications for product, engineering, and data science enhancements, featuring problem definitions, supporting evidence, anticipated student impact, and acceptance criteria.
What you will NOT be doing
- Repackaging traditional education in an AI wrapper. This isn't about replicating classroom instruction via screens – we're fundamentally reimagining learning from the ground up.
- Analyzing data in isolation. You'll be expected to regularly engage with K-12 students, valuing their feedback as essential input from our paying customers.
- Waiting for consensus to push boundaries. You'll champion a bold vision and rally others around data-driven results.
- Sticking to conventional methods. You'll be free to experiment with innovative approaches to motivation, assessment, and instruction.
- Fearing AI's impact on education. Here, you'll harness AI as an exciting tool to revolutionize learning, not as a threat to be mitigated.
Key responsibilities
Drive innovation in AI-powered, teacher-less education to deliver exceptional student outcomes across multiple campuses. Blend data analytics with regular student engagement to continuously optimize our learning ecosystem, as measured by AP exam performance and MAP assessment growth.
Candidate requirements
- Master's degree or higher in Educational Science, Learning Science, Psychology, Psychometrics, Instructional Design, or a related field
- At least 5 years of experience in academic or EdTech leadership roles, with direct people management responsibility (hiring, performance evaluation, coaching, termination decisions)
- Demonstrated experience using AI tools as part of day-to-day professional workflows, and willingness to rely on AI extensively to improve academic and operational outcomes.
- Strong understanding of learning science principles, such as Cognitive Load Theory and Mayer's Multimedia Principles, and data-driven educational approaches
Applying for a role? Here’s what to expect.
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