VP of Machine Learning, Data & AI

In this role, you will:

• Technical & Strategic Leadership: Drive ML/AI infrastructure development to ensure reliable, scalable systems that power Quizlet experiences
• Establish rigorous quality standards and evaluation frameworks for all AI systems
• Build comprehensive testing, monitoring, and validation processes to ensure AI system accuracy and reliability
• Set product and business strategy through AI innovation, representing learning science, data science, and machine learning at the executive level
• Lead the development of personalization engines, search systems, and recommendation algorithms that enhance learning outcomes
• Drive bold, high-impact decisions backed by data and experimentation
• Create a technical roadmap for AI adoption across the organization


Team & Organization Building
• Build and develop high-performing teams across ML engineering, data science, and AI research
• Foster a builder culture that emphasizes execution excellence, lean innovation, and rapid development
• Guide internal AI education and adoption, creating systems for knowledge sharing and capability building
• Create collaborative partnerships with product, engineering, design, and business teams
• Establish frameworks for AI experimentation, evaluation, and deployment


Product Impact & Innovation
• Lead applied AI initiatives that directly enhance user experiences across all Quizlet products
• Oversee development of next-generation learning features powered by generative AI and LLMs
• Implement systematic evaluation methods to measure AI system effectiveness and learning outcomes
• Establish quality benchmarks and performance standards for all AI-powered features
• Drive measurable improvements in core metrics through AI-powered experiences
• Balance existing capabilities with exploration of emerging AI technologies
• Guide ongoing product decisions to drive confidence in long-term AI investments

What you bring to the table:

• Technical Expertise: Deep technical background in applied machine learning and AI, spanning areas such as LLMs, generative AI, recommendation systems, and search algorithms
• Extensive experience building and scaling ML infrastructure to support production AI applications
• Expert in AI quality assurance, evaluation methodologies, and performance metrics
• Strong understanding of experimentation, causal methods, statistics, optimization techniques, and machine learning at scale
• Experience implementing robust AI governance, validation processes, and bias mitigation
• Experience leading teams delivering consumer-facing AI products
• Ability to balance technical innovation with practical implementation and quality standards


Leadership & Communication
• Proven track record leading engineering and data science teams to deliver complex AI systems
• Exceptional communication skills with both technical and business stakeholders
• Ability to translate complex AI concepts into clear strategies and actionable roadmaps
• Experience guiding cross-functional teams in AI adoption and implementation
• Strategic thinking at the executive level, with demonstrated business impact


Required Experience
• 8+ years of experience in machine learning, data science, or AI development
• 5+ years leading teams building ML/AI products at scale
• Demonstrated expertise in AI system evaluation, quality assurance, and performance optimization
• Experience developing comprehensive testing frameworks for complex AI systems
• Experience developing and deploying AI systems with direct user impact
• Track record of successful AI infrastructure development and scaling
• Experience with AI education and organizational capability building

Bonus points if you have:

• Experience with educational technology or learning science applications of AI
• Background in natural language processing, particularly with applications to educational content
• Experience building personalization systems that improve over time
• Passion for making learning more effective and accessible through technology
• Completion of advanced study or research in relevant fields combining AI and learning

Compensation, Benefits & Perks:

• Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps.  Total compensation for this role is market competitive, including a starting base salary of $260,000 - $350,000, depending on location and experience, as well as company stock options
• This role is eligible for a bonus
• Collaborate with your manager and team to create a healthy work-life balance
• 20 vacation days (and we expect you to take them!)
• Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, HMO, 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