Descripción de la oferta
Digitization was only the beginning – AI is now rewriting how the world learns. At Sanoma Learning, we are harnessing generative AI and advanced analytics to personalize study paths, reduce teachers’ workload, and inspire every learner.
The role as Pedagogical AI Expert strengthens Sanoma Learning’s AI product development with evidence-based pedagogical thinking. Your work contributes to shape the high-level pedagogical strategy for educational AI products, translating it into clear product requirements, evaluation approaches and risk mitigations that teams can execute. While your focus is AI, you’ll work in the context of our blended learning strategy for the international publishing landscape that Sanoma Learning operates in. You’ll work closely with our pedagogical lead, aiding product development and subject experts from our local publishing companies.
In our matrix structure, you will report to pedagogy competence lead for pedagogy alignment across print, digital, and AI. On a day-to-day basis, you will operate in the AI domain, helping product teams shape experiences for teachers and students. You’re a senior individual contributor: deep expertise and high autonomy, with strong ability to influence cross‑functional stakeholders without formal people management responsibility. You have extensive experience from pedagogy & learning science, AI/EdTech and product management & execution.
Your Key Responsibilities
Build and maintain an up-to-date view of where AI brings proven value to learning, and translate it into clear guidance for product teams.
Translate pedagogical principles into concrete product behaviours and requirements (e.g. learner agency, age‑appropriate scaffolding).
Define success metrics tied to learning outcomes, including guardrail metrics to detect unintended consequences.
Identify key risks in AI‑enabled learning and design mitigations embedded in the product and UX.
Align with editorial experts across our operating companies to identify common pedagogical guidelines and country‑specific needs.
Work with subject experts to identify suitable adjustments to our AI‑tooling, in order to fit it to different needs of the various subjects.
Communicate “why this matters educationally”, in a way that informs decisions for non‑pedagogical audiences, from teams to leadership.
Formal Qualifications
Strong understanding of learning mechanisms and how AI can support or undermine them.
Scientific approach and the ability to distinguish between proven, promising and unsupported evidence, with clear reasoning and appropriate humility about limits.
Proven ability to translate pedagogical principles into product requirements and acceptance criteria.
Skilled in defining learning‑outcome metrics, as well as guardrails that detect harm or misuse.
Practical understanding of how to work with LLMs to get reliable, intended outputs.
Experience evaluating AI tools from a pedagogical perspective, and to integrate AI into the educational workflow.
Experience in product management, including product strategy, design and discovery, stakeholder management and planning.
Familiarity with education markets, curriculum‑aligned products, assessment practices and classroom implementation constraints.
Excellent communication skills in English, speaking as well as in writing.
Keys to Success
Experienced in collaborating cross‑functionally and influencing decisions without formal authority.
Clear, well‑structured communicator who can make complex topics tangible to diverse stakeholders.
Entrepreneurial and agile mindset, thriving in fast‑changing, ambiguous environments where changes in direction may be required without perfect information.
Comfortable moving between strategic principles and hands‑on product guidance in a matrix environment.
Position Specs
Type of Work – Hybrid model.
Contract – Permanent, Full time.
Location – Madrid, Spain; Warsaw, Poland; Den Bosch, Netherlands; Wommelgem, Belgium.
Sanoma Learning is an equal opportunity employer; we are committed to inclusion and diversity, ensuring equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics.
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