• Drive AI-Enhanced Product Insights: Use AI-powered tools to gather and analyze user behavior, feedback, and large-scale datasets (qualitative and quantitative) • Apply advanced behavioral data analysis techniques to uncover patterns, pain points, and opportunities that feed into AI-driven design decisions and product optimization • Leverage Continuous Feedback Systems: Collaborate with Data Science and Product teams to build real-time feedback loops that allow for dynamic product adjustments based on user input and usage patterns • Collaborate Closely with Cross-Functional Teams: Partner with Designers, Engineers, Product Managers, and Data Scientists to ensure research insights are seamlessly integrated with AI models and design decisions • Establish and Scale AI-Infused UX Research Practices: Work alongside the Director of User Experience Design to define AI-first research methodologies, integrating them with traditional UX research techniques • Lead UX Research and Testing: Create and execute AI-assisted research strategies, including A/B/multivariate testing, to validate new features, enhance user experiences, and optimize AI model accuracy • Communicate Insights with Impact: Synthesize and present AI-driven insights and research findings to a broad set of stakeholders