Head of Learning Experience

About the role

At Quizlet, we're looking for a visionary leader to define the future of adaptive, multi-modal study platforms. This is a high-visibility executive leadership role responsible for driving the core product value proposition that powers billions of monthly learning interactions globally.

Responsibilities

• Define the Adaptive Study Blueprint: Architect and execute a multi-year product strategy that transforms Quizlet into a fully adaptive, multi-modal study platform driven by behavioral and cognitive science principles.
• Embed Learning Science into Product DNA: Translate core learning science concepts into intuitive, high-converting product mechanics that help students learn faster and retain longer.
• Own & Scale Multi-Tool Learning Suites: Drive the roadmap for a broad range of study modalities, including interactive AI Q&A, audio/podcast study guides, active-recall engines, and peer-discussion tools, determining which tool helps a user study specific content best.
• Build Intelligent Experience Engines: Partner with Machine Learning and Behavioral Science teams to build adaptive algorithms that analyze user engagement and dynamically present the right study format at the right time based on user cognitive load and mastery state.
• Deliver Quantifiable Business & Learning Outcomes: Hit high-impact metrics across 60M+ active users, including increasing daily study session completions by 20%+, improving week-4 cohort retention, and reducing time-to-mastery on complex subjects.
• Lead High-Performing Cross-functional Pods: Direct product managers, designers, and engineering leads across multiple feature pods to ship high-quality, scientifically grounded features on rapid two-week iteration cycles.
• Evaluate & Integrate Next-Gen EdTech Capabilities: Continuously audit the consumer tech, AI, and behavioral science landscapes to invent, integrate, or partner for best-in-class tools that make learning frictionless and engaging.

Requirements

• 10+ years of Product Leadership: Proven track record of shipping consumer-facing digital products at massive scale (10M+ MAUs), with at least 3+ years managing cross-functional product teams.
• Applied Behavioral/Cognitive Science: Demonstrated experience applying evidence-based human behavior principles to drive consumer product engagement—whether in edtech, health/fitness, or consumer AI.
• Multi-Modal Product Fluency: Hands-on experience building diverse feature sets incorporating interactive media formats, such as audio/podcasts, conversational Q&A interfaces, or community discussion channels.
• Data & Experimental Rigor: Masterful understanding of A/B testing frameworks, north-star metric definitions, and behavioral analytics to drive sustainable retention.
• Education: Bachelor’s or Master’s degree in Computer Science, Human-Computer Interaction (HCI), Cognitive Science, Behavioral Economics, or a related technical/analytical field.
• Bonus Points If You Have: Experience integrating generative AI, synthetic voice/podcasts, or conversational agents directly into core consumer engagement loops.
• 5-Year Vision Stretch: The strategic ambition to turn Quizlet into the world's premier autonomous, multi-modal study companion—a system where any user instantly receives a tailor-made mixture of interactive Q&A, audio synthesis, and community discussion explicitly customized to their individual cognitive profile and learning goals.

Qualifications

• Experience integrating generative AI, synthetic voice/podcasts, or conversational agents directly into core consumer engagement loops.
• Master’s degree in Computer Science, Human-Computer Interaction (HCI), Cognitive Science, Behavioral Economics, or a related technical/analytical field.

Skills

• Strategic Vision: Ability to develop long-term strategies and execute them effectively.
• Product Leadership: Proven ability to lead cross-functional teams and drive product development at scale.
• Behavioral Science: Expertise in applying human behavior principles to improve product engagement and retention.
• Adaptive Algorithms: Experience building and deploying adaptive learning algorithms.
• Collaboration: Strong ability to work collaboratively with cross-functional teams, including AI/ML engineering, design, and behavioral science.

Benefits

• Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice)
• Employer-sponsored 401k plan with company match
• Access to LinkedIn Learning and other resources to support professional growth
• Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits
• 40 hours of annual paid time off to participate in volunteer programs of choice

Pay

Total compensation for this role is market-competitive and varies based on location and experience, and includes company stock options.

Schedule

This is an onsite position in our San Francisco office. We ask employees to be in the office at least two days a week: Wednesday, and Thursday.