Director of Product – Data Products

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🕒 March 18

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Preply

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2012

📚 Education

🏪 Marketplace

👥 B2C

Education • Marketplace • B2C

Preply is an online education marketplace that connects learners with professional tutors for live, personalized 1-on-1 lessons across languages and other subjects. The platform offers thousands of vetted tutors, user reviews, mobile apps, and tools for scheduling and secure payments, plus plans for individuals and corporate language training. Preply focuses on tailored learning paths, flexible scheduling, and progress tracking to help students improve conversational and exam skills.

📋 Description

• Build the Vision of Preply’s data products: Define and champion the strategic vision for how data will transform Preply's products alongside your data and engineering partners. Lead continuous product discovery to deeply understand the needs of internal product teams, data practitioners, and end users. Translate these insights into a prioritized data product roadmap that balances immediate impact with long-term scalability. • Drive impact: Own the end-to-end success of Preply’s data product portfolio, with clear accountability for adoption, business impact, and ROI. Define and track success metrics such as experiment velocity, decision latency, revenue uplift, and learner/tutor outcomes enabled by data products. • Lead and scale the team: Hire, coach, and develop top talent in the new data products function. • Platform & Innovation: Own the ML/LLM platform teams as well as foundational Data Platform and Analytics Engineering teams, ensuring robust, scalable, and governed data access. • Business Impact: Anchor all technical and expert thinking into clear, tangible business impact, ensuring our data investments drive competitive advantage and deliver measurable value to learners and tutors. • Transversal Leadership: Work across all major product verticals to identify, build, and integrate high-impact data products. • Experimentation: Own the experimentation function and platform directly, driving a culture of data-informed product iteration and learning.

🎯 Requirements

• Demonstrated experience coming from companies where data is explicitly considered a product • Demonstrated ability to connect data and ML investments to business outcomes, including revenue growth, cost efficiency, unit economics, and strategic differentiation • Demonstrated ability to design data products and infrastructure that scale horizontally across the entire organization • Deep expertise in A/B testing and experimentation best practices in a large scale organization • Comfortable going deep into architecture, understanding complex data/ML infrastructure, and translating that technical expertise into tangible business value and product outcomes • Strong practical experience or deep understanding of the application of Machine Learning (ML) and Large Language Models (LLM) in product development • Proven success in managing and scaling highly technical and data driven product teams, mentoring leaders, and fostering a culture of excellence and innovation • A strong product mindset, able to define the "why" and "what" for complex data capabilities and align them with overall company goals • The ability to communicate complex data concepts and strategic visions effectively to both technical and non-technical stakeholders, including senior leadership • Proven ability to influence and align senior stakeholders across Product, Engineering, Data, and Applied AI, navigating trade-offs and resolving conflicts in a high-ambiguity environment

🏖️ Benefits

• A generous monthly allowance for lessons on Preply.com • Learning & Development budget and time off for your self-development • A competitive financial package with equity, leave allowance and health insurance • Access to free mental health support platforms • The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!)