Senior Product Manager (EdTech & AI)

Role overview Lead product strategy for digital products serving education and research, with a particular focus on data-informed discovery and AI-related opportunities. The role owns a multi-year roadmap and international pricing approach while working closely with leadership, engineering, data science, and design. It also includes mentoring product managers and shaping consistent product practices.

Responsibilities - Set and advance an outcome-based, multi-year roadmap tied to business goals and product success measures. - Research developments in education technology and AI to inform product direction. - Develop international pricing and monetization strategies, using analysis to assess price ranges and improve customer lifetime value. - Use product performance data and research methods to test hypotheses and guide decisions. - Present evidence-based recommendations to senior leaders and help resolve strategic trade-offs. - Mentor product managers, improve product requirement documents, and coordinate prioritization with engineering, data science, and design teams.

Requirements - At least five years of product management experience in software, such as SaaS, education technology, or AI-driven products. - Bachelor’s or master’s degree in computer science, data science, or a related technical or scientific discipline. - Experience using complex data analysis and research methods in product decisions. - Strong command of prioritization frameworks and outcome-focused roadmap planning. - Track record of writing clear product requirements and managing work in an agile environment. - Experience influencing cross-functional partners and mentoring other product managers. - Fluent English and ability to explain technical topics to non-technical audiences.

Nice to have Business education or advanced product strategy training, experience building AI or machine learning products, a science or academic software background, or experience with products serving millions of users across multiple regions.

Benefits and work setup Work equipment is provided by choice, and the package includes paid leave, English lessons, a newborn bonus, and patent-related remuneration. Schedules are flexible. Remote work is available where there is no office; in office locations, the stated arrangement is two days on site and three remote.