We're seeking a Sr. Quantitative UX Researcher who is passionate about shaping the future of AI-native business applications at scale. This is a rare opportunity to define the research strategy for one of Amazon's next generation of AI-powered solutions — influencing not just product direction, but the broader field of human-AI interaction.

Lead quantitative and mixed-methods research for new and emerging AI products, especially in 0 to 1 spaces where customer needs, product behaviors, and success criteria are still being defined.

Own experimental design from end to end. This includes defining hypotheses, selecting methods, identifying measures, designing studies, analyzing results, and translating findings into clear product actions.

Pioneer AI-Native Research Innovation: Set the industry standard for AI-focused user research by inventing and adapting methodologies to understand how customers interact with AI systems, building trust, and driving adoption at scale

Data Synthesis and Executive Storytelling: Triangulate research insights with engagement metrics, experiment data, user logs, and AI performance metrics to craft compelling, executive-ready narratives that drive product improvements and long-term business strategy

Partner closely with product, design, applied science, and engineering to support a build, test, learn model of development, where evidence is used early and often to shape decisions.

Establish Cross-Org Research Standards: Define and institutionalize research frameworks, measurement criteria, and reusable methodologies that create consistency and raise the bar across all AI solutions and teams within AWS