Product Manager responsible for the development and management of Pottencial's products from conception to delivery and maintenance.
About the role
- 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.
Benefits
- Professional development opportunities
- Flexible work arrangements
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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