Product Owner

Sanoma Learning is a leading European K12 education company operating in 12 countries. The organization provides integrated print and digital learning solutions, including platforms and content, to support teachers and schools in developing student potential across primary, secondary, and vocational education.

• Define, own, and communicate the product vision and roadmap for Content as a Service, aligned with market needs across multiple countries;
• Lead cross-functional collaboration across engineering, data science, integrations, legal, content, commercial, and country organizations to turn strategy into shipped outcomes;
• Own end-to-end product delivery, including discovery, prioritization, release planning, launch coordination, and post-launch optimization;
• Oversee product releases and dependencies across multiple teams;
• Ensure efficient onboarding of content from diverse source systems;
• Ensure high-quality enrichment with educational and semantic metadata;
• Ensure reliable, high-performance APIs and services for content consumption;
• Enable downstream product innovation, ensuring digital customer-facing products and AI solutions can access and utilize content and metadata at scale;
• Translate strategic goals into actionable plans by refining epics and keeping priorities transparent;
• Champion data-informed decision-making, leveraging usage analytics, experiments, and user research;
• Represent the product to senior stakeholders, communicating progress, risks, trade-offs, and impact.

• 5+ Years of experience in product management, product ownership, or a comparable role;
• Proven ability to lead products in complex, matrix environments with multiple stakeholders and competing priorities;
• Experience delivering platform capabilities or shared services used by multiple teams or markets;
• Demonstrated interest or experience in AI-driven solutions and data-enabled products;
• Excellent communication skills in English (spoken and written);
• Nice to have: Hands-on experience with APIs, content platforms, data pipelines, or microservices architectures, experience with semantic metadata, taxonomy design, or learning content models, familiarity with LLMs, recommendation systems, or AI-based content enrichment, experience in EdTech, learning platforms, or enterprise-scale digital ecosystems.

• No conditions specified