Senior 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 design systems rather than critique them from the sidelines. You understand your discipline well enough to recognize high-quality learning outcomes, possess the discipline to translate that understanding into rubrics and AI-driven quality mechanisms, and maintain the pragmatism to execute decisively when working with incomplete data. Student improvement matters to you, and you are prepared to be measured by those results.
2 Hour Learning pursues an objective that most software and education organizations avoid. There are no instructors, no traditional textbooks, and no safety net of conventional teaching methods supporting the product. AI serves as the core operational framework. In this position, you will leverage it to produce and refine learning materials, architect interventions, oversee quality standards, and advance the platform's capabilities. The working tempo resembles high-performance technology, consulting, or finance environments more than traditional education settings, and the reward is full ownership of student outcomes for your subject across multiple campuses.
This position centers on operational leadership. You will construct AI-driven enhancements to the learning ecosystem, deploy targeted interventions based on student performance data, produce evidence-backed decision documentation, and lead a team according to explicit standards linked to MAP, AP, SAT, and ISEE performance. You will also collaborate directly with product, engineering, and data science to shape the platform's development roadmap. This role suits someone who instinctively turns to AI, independently conducts analysis, delivers work amid uncertainty, and accepts full accountability for outcomes. It will challenge anyone who gravitates toward consensus-driven workflows, minimal accountability structures, or the security of established methods.
You will serve as a senior leader within the academics organization, wielding meaningful authority over your subject's performance and the evolution of the broader learning infrastructure. The team will depend on your standards, your analytical judgment, and your capacity to transform student data into concrete action. If that prospect feels energizing instead of overwhelming, this role was likely designed with you in mind.
What you will be doing
- Learning Ecosystem Enhancements — AI-powered refinements to subject-specific K–12 learning environments spanning content, adaptive pathways, and student interventions, shaped by student feedback, performance analytics, assessments, and coaching data.
- Data-Driven Academic Interventions — Focused intervention strategies for underperforming students or groups, informed by MAP, AP, SAT, ISEE, and comparable performance metrics.
- Student Performance Decision Records — Scalable, evidence-supported decisions that document actions taken to improve student performance, backed by dashboards, analytics, tickets, surveys, coaching sessions, and assessment results.
- Learning Ecosystem Improvement Specs — Actionable specifications for product, engineering, and data science teams, detailing problem statements, 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 digitizing classroom instruction – we're fundamentally rethinking learning from first principles.
- Analyzing data in isolation. You'll maintain regular contact with K-12 students, treating their feedback as critical input from our paying customers.
- Waiting for consensus to push boundaries. You'll advocate for an ambitious vision and mobilize others around data-backed outcomes.
- Sticking to conventional methods. You'll have the freedom to test innovative strategies for motivation, assessment, and instruction.
- Fearing AI's impact on education. Here, you'll embrace AI as a powerful lever to transform learning, not as a risk to be contained.
Key responsibilities
Lead innovation in AI-powered, teacher-less education to achieve outstanding student outcomes across multiple campuses. Integrate data analytics with ongoing student engagement to continuously refine our learning ecosystem, measured 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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