We power people’s progress.
At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact.
We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale.
Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day.
Meet the team
This is a
pivotal product role at Preply. You will be responsible for building and scaling a brand new product function focused on data products and expertise, driving the company's transition into a truly data-powered organization.
You will be the architect and advocate for how data transforms Preply's product vision, working transversally across the entire organization, from Growth to Learning Products. You will bring the 'so what' behind complex data, machine learning and engineering infrastructure products and own the business impact delivered by these products.
If you are passionate about defining the future of data and AI-driven products and leveraging data as a core competitive asset, this is your opportunity to build an industry-leading capability from the ground up.
What You'll Be Doing
As the Director of Data Products, you will be at the core of Preply's data products transformation, owning the vision, execution, and impact of critical data product squads.
- 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.