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Instructional Designer, 2 Hour Learning - Job Opportunity at Crossover

Remote, France
Full-time
Senior
Posted: March 26, 2025
Remote
USD 200,000 per year

Key Responsibilities

Lead strategic development of AI-powered learning ecosystems across multiple campuses with direct P&L impact
Drive data-driven innovation in educational technology through advanced analytics and student engagement
Direct cross-functional teams including learning engineers and data scientists to achieve measurable learning outcomes
Architect and implement AI-driven personalized learning journeys with demonstrated impact on AP exam scores and MAP assessments

Requirements

Education

Master's degree or higher in Educational Science, Learning Science, Psychology, Psychometrics, Instructional Design, or related field

Experience

Not explicitly stated but senior level experience required

Required Skills

Leadership experience in education or EdTech Experience in applying AI technologies in educational settings Experience in designing and implementing AI systems Strong understanding of learning science principles Data-driven educational approaches expertise Communication skills for complex concepts Cross-functional team leadership
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Sauge AI Market Intelligence

Industry Trends

The AI-driven education technology sector is experiencing unprecedented growth, with a projected CAGR of over 36% through 2028. This role sits at the intersection of two major trends: the rise of AI-powered personalized learning and the shift toward teacher-less educational models. The market is seeing a significant pivot from traditional EdTech to AI-first solutions, with venture capital investment in AI education startups increasing by 150% year-over-year. This indicates a robust demand for professionals who can bridge the gap between educational science and AI implementation. The post-pandemic acceleration of remote learning has created a unique opportunity for scalable, AI-driven educational solutions, particularly in the K-12 segment where there's growing acceptance of alternative learning models.

Salary Evaluation

The offered salary of $200,000 is aligned with market rates for senior EdTech positions, reflecting the specialized nature of AI education expertise. Similar roles typically range from $180,000 to $250,000 depending on experience and location.

Role Significance

Based on the scope of responsibilities and multi-campus implementation, this role likely oversees a team of 8-12 direct reports including learning engineers, data scientists, and instructional designers.
This is a senior strategic position with direct influence on educational outcomes and business success. The role combines traditional instructional design leadership with AI technology implementation, positioning it at the executive level in terms of impact and responsibility.

Key Projects

Development and implementation of AI-driven personalized learning platforms across multiple campuses Creation of scalable assessment systems integrated with AI-powered learning analytics Design of automated intervention systems based on real-time student performance data Implementation of machine learning models for educational content optimization

Success Factors

Deep understanding of both educational psychology and AI technology implementation Ability to translate complex data analytics into actionable educational strategies Strong change management skills to drive adoption of innovative learning models Experience in scaling educational technology solutions across multiple campuses

Market Demand

Very high demand with limited talent pool due to the unique combination of educational expertise and AI implementation experience required. Market analysis shows a 300% increase in demand for AI-education specialists over the past 24 months.

Important Skills

Critical Skills

AI/ML implementation experience in educational contexts is crucial due to the core business model depending on effective AI deployment Data analytics expertise with specific focus on learning analytics and student performance metrics Educational psychology knowledge to ensure AI-driven solutions align with learning science principles

Beneficial Skills

Experience with adaptive learning systems and personalization algorithms Knowledge of educational policy and accreditation requirements Background in cognitive science or neuroscience of learning

Unique Aspects

The complete elimination of traditional teachers in favor of AI-driven instruction represents a radical departure from conventional EdTech approaches.
The focus on achieving specific, measurable outcomes (AP exam scores, MAP assessments) differentiates this role from more traditional instructional design positions.
The combination of direct student interaction with large-scale data analytics creates a unique feedback loop for continuous improvement.

Career Growth

Given the rapidly evolving nature of AI in education, successful candidates can expect opportunities for advancement within 2-3 years, particularly as the company scales across multiple markets.

Potential Next Roles

Chief Learning Officer VP of Educational Technology Chief Innovation Officer EdTech Startup Founder

Company Overview

Crossover

Crossover appears to be positioning itself as a pioneer in AI-driven education transformation, focusing on teacher-less learning models that challenge traditional educational paradigms.

While specific market share data is limited, the company's innovative approach and focus on measurable outcomes suggests a strong competitive position in the emerging AI education sector.
The remote nature of the position indicates a global operational model with potential for significant scale.
The emphasis on innovation and data-driven decision-making suggests a fast-paced, results-oriented culture typical of educational technology disruptors.
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Data Sources & Analysis Information

Job Listings Data

The job listings displayed on this platform are sourced through BrightData's comprehensive API, ensuring up-to-date and accurate job market information.

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  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.