Vice President 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
Description
Ready to revolutionize education through the power of AI? Welcome to 2 Hour Learning, where we're not just adopting AI—we're using it to completely transform how students learn and achieve.
Imagine a world where students consistently score 4s and 5s on multiple AP exams and show remarkable two-year growth in annual MAP assessments. This isn't a dream—it's our reality. Through our groundbreaking AI-powered learning platform, we're shattering traditional educational boundaries and redefining what's possible in student achievement.
As our Vice President of Learning, you'll be the visionary force behind our AI-driven educational revolution. You'll orchestrate a learning ecosystem that adapts to each student's unique journey, working across multiple campuses to deliver unprecedented results—all without traditional classroom teachers.
This role combines cutting-edge AI technology, data-driven decision making, and direct student engagement to create transformative learning experiences. You'll lead a team of brilliant minds while championing our students' success, using advanced analytics and AI to push the boundaries of educational possibility.
At 2 Hour Learning, we're not just improving education—we're reimagining it entirely. Join us in creating the future of learning, where AI meets human potential to achieve extraordinary results.
What you will be doing
- Design and evolve an AI-powered learning ecosystem that delivers quantifiable results surpassing traditional education methods
- Connect with students through virtual platforms to gather crucial insights and drive continuous system improvements
- Transform learning data into actionable strategies using AI/ML technology and evidence-based learning science
- Foster innovation through data-driven experimentation and bold decision-making
- Collaborate with cross-functional teams to create seamless, effective learning experiences
What you will NOT be doing
- Creating digital versions of traditional classrooms—we're building something entirely new
- Working in isolation from our students—their feedback drives our innovation
- Waiting for universal agreement before taking action—we move fast and follow the data
- Following conventional educational playbooks—innovation is our standard
- Treating AI as a threat—we embrace it as a powerful tool for educational transformation
Key responsibilities
Lead the revolution in AI-driven education across multiple campuses, combining sophisticated data analytics with direct student engagement to optimize learning outcomes. Success is measured through concrete metrics including AP exam scores 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 track record in education or EdTech sectors
- Demonstrated expertise in applying AI technologies within educational contexts
- Hands-on experience in designing AI systems for educational applications
- Deep understanding of learning science and data-driven educational methodologies
- Excellence in communicating complex concepts to diverse stakeholders
- Strong track record in cross-functional team leadership and project management
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 & AI 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.
