Head Of Curriculum $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
Not accepting applications on crossover.com at this time.
Description
This role is designed for academic leaders who prefer to design the system rather than critique it from the sidelines. You bring subject-matter fluency sufficient to define high-quality learning, the rigor to translate that vision into rubrics and AI-driven quality measures, and the operational discipline to act decisively on imperfect data. You prioritize measurable student progress and accept accountability for those results.
2 Hour Learning pursues an approach seldom seen in software or education. There are no teachers, no textbooks, and no traditional instructional scaffolding beneath the platform. AI serves as the operational foundation. In this position, you deploy it to produce and refine learning content, architect interventions, oversee quality assurance, and advance platform capabilities. The tempo resembles high-performance environments in technology, consulting, or finance rather than conventional schooling, and the reward is complete ownership of student outcomes for your subject across multiple campuses.
This position centers on functional leadership. You will develop AI-enhanced learning ecosystem improvements, execute student-performance-driven interventions, author evidence-backed decision documentation, and lead a team measured against objective benchmarks tied to MAP, AP, SAT, and ISEE performance. You will collaborate closely with product, engineering, and data science teams to shape platform evolution. It suits individuals who instinctively turn to AI, conduct their own analyses, deliver under uncertainty, and assume full responsibility for outcomes. It will not suit those who favor consensus-driven timelines, minimal accountability, or reliance on established frameworks.
You will hold a central leadership position within the academics organization, wielding meaningful influence over subject-area performance and the broader learning infrastructure. Colleagues will depend on your standards, judgment, and capacity to translate student data into executable plans. If that prospect feels motivating rather than daunting, this role is likely aligned with your strengths.
What you will be doing
- Learning Ecosystem Enhancements — AI-generated refinements to K–12 subject-specific learning experiences, spanning content, adaptive pathways, and student interventions, informed by student feedback, analytics, assessments, and coaching observations.
- Data-Driven Academic Interventions — Targeted intervention strategies for underperforming students or cohorts, guided by MAP, AP, SAT, ISEE, and related performance metrics.
- Student Performance Decision Records — Reusable, 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 — Actionable specifications for product, engineering, and data science enhancements, featuring problem definitions, supporting data, anticipated student impact, and acceptance criteria.
What you will NOT be doing
- Repackaging traditional education with an AI veneer. This is not about digitizing classroom instruction – we are reimagining learning fundamentally.
- Conducting data analysis in a vacuum. You will engage directly and regularly with K-12 students, treating their feedback as critical input from our paying customers.
- Waiting for consensus before advancing bold ideas. You will advocate for an ambitious vision and mobilize others through data-driven outcomes.
- Adhering to conventional pedagogical methods. You will have the freedom to explore novel approaches to motivation, assessment, and instruction.
- Viewing AI as a threat to education. Here, you will leverage AI as a transformative tool to redefine learning experiences.
Key responsibilities
Lead innovation in AI-powered, teacher-independent education to achieve outstanding student outcomes across multiple campuses. Integrate data analytics with consistent student engagement to refine our learning ecosystem continuously, as evidenced by AP exam results 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
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