Vice President of Product Engineering $400,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks
Description
ARCHITECT THE FUTURE OF AI-POWERED EDUCATION
Elite technical leaders who combine CTO-level architecture expertise with product vision are rare. Those who can apply these skills to revolutionize education through AI are exceptional. At 2 Hour Learning, we're not incrementally improving education—we're completely reinventing it. Our AI-first learning ecosystem has already proven that students can achieve years of academic growth in months, dominating AP exams and shattering performance expectations.
This Vice President of Product Engineering role demands a technical visionary who can architect our entire learning system from first principles. You'll make the critical technical decisions that ensure our platform remains lean, scalable, and singularly focused on transforming student outcomes. This is your opportunity to define how AI fundamentally reshapes education for generations to come.
What you will be doing
- Architect and evolve our AI-powered learning ecosystem with technical decisions that prioritize simplicity, scalability, and measurable student outcomes
- Leverage deep education product expertise to make strategic technical choices that advance our learning science foundations
- Implement and integrate cutting-edge generative AI technologies to automate engineering processes and accelerate product innovation
What you will NOT be doing
- Managing people as your primary function—your value comes from technical and business leadership that drives architectural excellence
- Spending time in unnecessary meetings or administrative overhead—we've automated these distractions so you can focus on high-impact technical decisions
- Creating abstract strategies without implementation paths—your technical vision must translate directly to executable product architecture
Key responsibilities
Candidate requirements
- 7+ years making critical architecture and design decisions on enterprise software projects, including application of architectural patterns and significant open source technologies
- 4+ years with full technical and delivery ownership of revenue-generating products
- 2+ years making architectural decisions involving cloud computing services (primarily AWS)
- Demonstrated experience building product features leveraging advanced Generative AI capabilities
- Proven track record using Generative AI to streamline and optimize engineering workflows
- Deep experience or demonstrated interest in data-driven learning science
Applying for a role? Here’s what to expect.
Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.
Chat-style
screening interview.
Cognitive 
aptitude test.
Prove real-world 
job skills.
Interview with the hiring manager.
Accept Job Offer.
Pass 
proctored test.
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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
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