Product Manager overseeing AI product development and cross-functional collaboration at Sanoma Learning. Driving product vision, delivery, and user engagement with a focus on education solutions.
Responsibilities
Define, own, and communicate the product vision and roadmap for customer-facing AI applications, aligned with Sanoma Learning’s AI strategy and 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, ensuring quality, continuity, and readiness for market
Translate strategic goals into actionable plans by refining epics, features, and stories, keeping priorities transparent and focused on user and business impact
Champion data-informed decision-making, leveraging usage analytics, experiments, and user research to continuously improve learning outcomes and adoption
Act as a steward of ethical AI and data privacy, ensuring learner trust is embedded in all product decisions
Represent the product to senior stakeholders, clearly communicating progress, risks, trade-offs, and impact
Own and refine the Product Backlog: slice Epics into Features and Stories, validate acceptance criteria, and keep priorities transparent to business and engineering
Prepare and facilitate sprint plannings, reviews, and retrospectives within a Scrum environment
Requirements
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 driving product launches and coordinating across non-technical domains (e.g. legal, commercial, content, integrations)
Demonstrated AI experience or strong hands-on curiosity, whether through shipped ML-powered features, formal training, or side projects
Hands-on experience with LLMs, APIs, recommendation systems, or adaptive learning technologies
Experience with A/B testing, experimentation, or evidence-based optimization
Background in EdTech, learning platforms, or mission-critical B2C products.
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