Are you ready to unleash the potential of AI to redefine student achievement
At 2 Hour Learning, we're not content to merely adopt AIwe've encoded it into our DNA. We've re-engineered the learning experience from the ground up, harnessing AI and learning science breakthroughs to shatter the confines of the traditional school day. The result Students who don't just meet the barthey vault over it.
The proof of our approach is undeniable: students using our platform consistently achieve 4s and 5s on five or more AP exams, demonstrate more than two years growth on yearly MAP assessments, and shatter their own expectations of what they can achieve. If you're energized by the opportunity to deliver transformative results at an unprecedented scale, 2 Hour Learning is where you belong.
You'll serve as the chief architect behind our revolutionary learning ecosystem for your dedicated school model, which spans multiple campuses. Fueled by an unwavering commitment to student success, you'll tap into the boundless potential of AI to craft hyper-personalized learning journeys that adapt to each student's unique needs, interests, and aspirations.
Your role will be a perfect blend of data-driven strategy and hands-on engagement. You'll dive deep into learning analytics, uncovering key insights to drive exponential growth. But you won't just crunch numbers from afaryou'll be on the front lines, working directly with students to understand their experiences, challenges, and triumphs. This firsthand knowledge will be invaluable as you pinpoint the specific motivational levers and pedagogical strategies to shatter achievement ceilings across all campuses.
You'll empower a dynamic team of learning engineers, data scientists, and instructional innovators to bring your vision to life. But more importantly, you'll be a champion for our students, ensuring that every decision, every innovation, and every strategy is laser-focused on improving their learning outcomes.
This is a once-in-a-generation opportunity to apply AI to education and fundamentally redefine what's possible. Armed with the predictive power of advanced learning analytics, the ability to A/B test pedagogical hypotheses at scale, and an institutional mandate to push boundaries, you'll blaze new trails daily.
Your canvas is vast, your toolkit unrivaled, and your mission critical. Because at 2 Hour Learning, we're not just using AI to boost gradeswe're unlocking the full force of human potential, all without traditional classroom teachers.
If you're ready to harness the most disruptive technology of our time to transform the most essential building block of our society, this is your moment. Audacious thinking, rigorous execution, and an unyielding commitment to student outcomes required. Defenders of the status quo need not apply.
Join us on the frontlines of the AI revolution in education. Together, we won't just shape the future of learningwe'll create it.
For more information on 2 Hour Learning, visit our website [https://2hourlearning.com/] and the Future of Education Instagram page [https://www.instagram.com/futureof_education/]. To see a school built around 2 Hour Learning, check out Alpha [https://alpha.school/].
What you will be doing
Architecting and continuously enhancing an AI-driven learning ecosystem that measurably outpaces traditional education, backed by tangible gains in student achievement data
Engaging directly with students through virtual platforms to understand their learning experiences, challenges, and successes, using these insights to drive continuous improvement of the learning ecosystem
Mining learning platform data to surface actionable insights and design high-impact academic interventions leveraging AI/ML, learning science, and motivational best practices
Championing a culture of bold experimentation and evidence-based decision-making, harnessing data to unlock step-changes in students growth trajectories
Partnering with platform engineering, data science, and design teams to translate academic insights and student feedback into seamless product enhancements
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, Educational Psychology, Industrial-Organizational Psychology, Psychometrics, Instructional Design, or a closely related quantitative field
5+ years of professional experience in an EdTech organization, with at least 3 years in a role directly responsible for leveraging AI/ML technologies to personalize learning for a minimum of 500 students
At least 2 successful projects architecting and deploying innovative, data-driven learning solutions with quantifiable improvements in student outcomes
Proficiency in at least 2 of the following AI technologies, as evidenced by shipped products, public demos, or published content: ChatGPT, Claude, Gemini, Copilot, or similar large language models/generative AI platforms
Proven ability to effectively communicate complex AI concepts to non-technical audiences
3+ years of experience directly collaborating with product, engineering, data science, and/or UI/UX teams to deliver production-ready software features powered by AI/ML models or data insights
2+ years of experience managing teams of at least 5 direct reports, with at least 1 year managing teams that include learning scientists, AI/ML engineers, or data analysts
