Instructional Designer $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 architect the system rather than critique it from the sidelines. You bring sufficient subject-matter fluency to recognize high-caliber learning when you see it, the discipline to translate that insight into rubrics and AI-driven quality controls, and the operational mindset to act decisively on incomplete data. You measure success by whether students demonstrate genuine improvement, and you accept being evaluated against that standard.
2 Hour Learning pursues what most software and education organizations avoid attempting. Teachers are absent, textbooks are not used, and there is no safety net of traditional pedagogy supporting the product. AI serves as the foundational operating model. In this position, you leverage it to produce and refine learning materials, architect interventions, oversee quality assurance, and advance platform capabilities. The rhythm resembles high-stakes technology, consulting, or finance more than conventional educational environments, and the reward is direct accountability for student outcomes across your subject area and multiple campuses.
This position centers on operational leadership. You will construct AI-driven enhancements to the learning ecosystem, respond to student performance signals with precision interventions, produce evidence-backed decision documentation, and lead a team measured against explicit benchmarks linked to MAP, AP, SAT, and ISEE performance. You will also collaborate closely with product, engineering, and data science teams to determine platform priorities. This role suits someone who reaches for AI by default, conducts independent analysis, delivers under uncertainty, and takes full ownership of outcomes. It will challenge anyone who gravitates toward consensus-driven timelines, minimal accountability structures, or the security of established methodologies.
You will serve as a central leader within the academics function, wielding meaningful influence over subject performance and system-wide learning improvements. Your colleagues will depend on your standards, your discernment, and your capacity to translate student data into executable action. If that prospect feels energizing rather than daunting, this role is likely designed for you.
What you will be doing
- Learning Ecosystem Enhancements — AI-powered refinements to K–12 subject-specific learning experiences spanning content, adaptive pathways, and student interventions, shaped by student feedback, performance analytics, assessments, and coaching observations.
- Data-Driven Academic Interventions — Precision intervention strategies for underperforming students or cohorts, informed by MAP, AP, SAT, ISEE, and comparable performance metrics.
- Student Performance Decision Records — Documented, evidence-supported decisions outlining student performance improvement initiatives, backed by dashboards, analytics, support tickets, surveys, coaching interactions, and assessment results.
- Learning Ecosystem Improvement Specs — Execution-ready specifications for product, engineering, and data science teams, detailing problem definitions, corroborating 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
Lead innovation in AI-powered, teacher-less education to produce outstanding student outcomes across multiple campus locations. Integrate data analytics with ongoing student engagement to continuously refine our learning ecosystem, with success measured by AP exam results and MAP assessment growth trajectories.
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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