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 ($100 USD/hour)
Description
Ready to revolutionize education with AI? At 2 Hour Learning, we're not just adopting AI—we're redefining student achievement with it. Our innovative platform has already produced remarkable results: students consistently scoring 4s and 5s on multiple AP exams and showing over two years' growth on yearly MAP assessments. If you're passionate about leveraging AI to unlock human potential at an unprecedented scale, this is your calling.
As our Head of Learning, you'll be the visionary behind our AI-driven learning ecosystem across multiple campuses. You'll blend data-driven strategies with hands-on student engagement, working at the intersection of AI, learning science, and educational innovation. Your mission? To shatter achievement ceilings and rewrite the rules of what's possible in education—all without traditional classroom teachers.
This isn't just a job—it's a once-in-a-generation opportunity to be at the forefront of the AI revolution in education. If you're ready to harness cutting-edge technology to transform the foundation of our society, we want you. Bold thinkers with a track record of rigorous execution and an unwavering commitment to student outcomes, step forward. The future of learning awaits.
Discover more about our groundbreaking work at 2 Hour Learning, follow the future of education on Instagram, or explore Alpha, a school built around our revolutionary platform.
What you will be doing
- Pioneer an AI-powered learning ecosystem that consistently outperforms traditional education models
- Engage virtually with students to gain crucial insights for continuous platform enhancement
- Leverage advanced analytics to design high-impact, AI-driven academic interventions
- Cultivate a culture of innovation, using data to drive unprecedented student growth
- Collaborate across teams to translate academic insights into seamless product improvements
What you will NOT be doing
- Digitizing conventional classroom methods—we're reimagining education from the ground up
- Analyzing data in a vacuum—you'll regularly interact with K-12 students to inform decisions
- Waiting for unanimous approval—you'll champion data-driven innovation
- Adhering to traditional educational paradigms—you're free to explore groundbreaking approaches
- Viewing AI as a threat—you'll harness it as a powerful tool to revolutionize learning
Key responsibilities
Spearhead innovation in AI-driven, teacher-less education across multiple campuses. Seamlessly integrate data analytics with student feedback to continuously refine our learning ecosystem. Success will be measured by tangible improvements in AP exam performance and MAP assessment growth.
Candidate requirements
- Advanced degree (Master's or higher) in Educational Science, Learning Science, Psychology, Psychometrics, Instructional Design, or related field
- Proven leadership in education or EdTech sectors
- Demonstrated expertise in applying AI technologies within educational or professional environments
- Track record of designing and implementing AI systems for educational applications
- In-depth understanding of learning science and data-driven educational methodologies
- Exceptional ability to communicate complex concepts to diverse stakeholders
- Extensive experience in leading cross-functional teams and managing intricate projects
How it works
Applying for a role? Here’s what to expect.
We’ve curated a series of steps that take the guesswork (and cognitive bias) out of recruiting the best person.
STEP 1
Pass Cognitive Aptitude Test.
STEP 2
Pass English Proficiency Test.
STEP 3
Prove Real-World Job Skills.
STEP 4
Ace An Interview Or Two.
STEP 5
Accept Job Offer.
STEP 6
Celebrate!
Frequently asked questions
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Why Crossover
Recruitment sucks. So we’re fixing it.
The Olympics of work
It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Premium pay for premium talent
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
Shortlist by skills, not bias
We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.
