Create a shared vision and cohesive roadmap for AI-powered Academy discovery and personalization as a core member of the Product Triad (Product, Engineering, UX).
Define and deliver intelligent matching systems that guide users to the right content at the right time using ML, predictive search, and conversational AI.
Explore ambiguous problem spaces across AI-driven recommendations, gamification, and conversational UI to improve user engagement and learning outcomes.
Guide new product initiatives from early discovery through launch, experimentation, and iteration.
Engage directly with internal and external users to deeply understand workflows, pain points, and success metrics.
Use quantitative data and qualitative research to test assumptions, validate opportunities, and continuously improve user experience.
Partner cross-functionally with Design, Engineering, Learning Science, Analytics, and GTM teams to drive alignment and measurable outcomes.
Contribute to a high-performing, psychologically safe team culture grounded in autonomy, ownership, and growth.
Requirements
Experience building AI assistants, AI agents, or agent-based skills.
Experience prototyping product concepts using AI prototyping tools.