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 ($100 USD/hour)
Description
Are you ready to unleash the potential of AI to redefine student achievement?
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, Psychology, Psychometrics, Instructional Design, or a related field
- Leadership experience in education or EdTech
- Experience applying AI technologies in an educational or professional context
- Experience designing and implementing AI systems for tasks such as content generation, data analysis, or adaptive learning
- Strong understanding of learning science principles and data-driven educational approaches
- Proven ability to communicate complex educational and technical concepts to diverse audiences
- Experience leading cross-functional teams and managing complex 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.
