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Senior Product Manager - Data Products

Full-time Hybrid work

Publication date: 12/11/2026

Every great learning experience at Preply starts with great data. The data product team builds foundational data products from governed, reusable data models and semantic layers. They power analytics, AI (classic ML and LLMs) and the necessary context for agentic products, helping Preply drive growth, innovate faster and become a truly AI-native company. This is a new function with a greenfield mandate, working alongside a high-calibre product and engineering organisation. The role is the first product manager dedicated to shaping what the team builds and in what order.

Responsibilities

Ownership: Shape and build the foundational data products for a fast-growing learning platform and marketplace, and modernise data foundations and data platforms so every team can build on data that is trusted, governed and AI-ready; Strategy and roadmap: Decide which data products to build and in what order, spot opportunities with business and product teams, especially those that build the data moat, and make sure the data built gets adopted and used; Partners: Work hand in hand with analytics engineering, data science, engineering, product, finance and business teams; Success: Prove the return on data products by showing how they drive company and product outcomes and business performance

Requirements

Experience in a senior product role, with proven experience building data products; Demonstrated business impact from data products, backed by tangible examples; Strong product craft: planning and running an agile product process, building roadmaps, defining metrics, coordinating stakeholders and making complex trade-offs with sound judgement; Experience working with data engineers or analytics engineers; A track record of driving adoption through compelling, high-quality data products that people choose to use, and of demoing new ways to use data that unlock new products and business experiences; Working knowledge of SQL, data governance tools and modern data platforms

Nice to have

Experience leading data modernisation transformations; Experience building company-wide agentic analytics

Benefits

A generous monthly allowance for lessons on Preply.com; Learning & Development budget and time off for self-development; A competitive financial package with equity, leave allowance, and health insurance; Attractive relocation package for those not in Barcelona to join the Preply Barcelona Hub; Access to free mental health support platforms; Access to Gympass-partnered wellness and gym centers throughout Spain; The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries
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