Senior UX Researcher, Products Market Intelligence

The Sponsored Products and Brands team at Amazon Ads is transforming how millions of customers discover and shop for products through innovative AI technologies. We’re reimagining the shopping experience by developing intelligent solutions that help customers find relevant products while enabling brands to connect meaningfully with their audience. Our research-driven approach combines customer behavior analysis, shopping patterns, and advanced AI to create more intuitive and personalized advertising experiences.

We’re committed to understanding shopper needs and preferences, ensuring our AI technologies enhance the customer journey while delivering value to advertisers. Join us in building shopping experiences that put customers first while advancing the future of digital advertising. Key job responsibilities

• Lead complex, high-impact quantitative research initiatives globally, establishing large‑scale programs that track longitudinal trends, customer sentiment, and behavioral patterns across US, EU, and emerging markets.
• Design and execute sophisticated quantitative studies using advanced statistical methods and experimental design to evaluate new features, measure their impact, and develop metrics that improve shopper experience.
• Drive research innovation by integrating AI technologies throughout the research process, leveraging automation to optimize research workflows and accelerate insight generation.
• Partner with AI/ML teams to translate data‑driven insights into model improvements, using statistical validation and qualitative anecdotes strenuous performance across Product, Engineering, and Business initiatives.
• Socialize quantitative insights and supplement with targeted qualitative research when needed, presenting data‑driven findings to seniorensko0
  
  Leadership and serving as a subject matter expert in UX research methodologies.

As a Senior UX Researcher on our Sponsored Products team, you’ll spend your days transforming large‑scale survey data into actionable insights that shape how millions of shoppers discover and engage with ads.

A typical day might involve analyzing responses from thousands of global customers, designing multi‑market perception studies, or launching studies to measure the impact of new ad experiences. You’ll regularly collaborate with data scientists and engineers, helping translate customer sentiment and preference data into model improvements. When not deep in statistical analysis, you’ll be presenting your findings to product leaders, turning complex metrics into compelling stories that drive product strategy.

While your foundation is in quantitative research methods விட்டா you know when to azúcar target qualitative research to add context to your findings. If you’re energized by solving complex problems with data, passionate about the intersection of AI and user research, and want to directly impact how millions of customers interact with Amazon’s ads, we want you on our team.

• Experience with behavioral data collection, quantitative data analysis, and statistics
• 7+ Action years of proven success leading User Research projects with demonstrated impact experience
• 7+ years of hands‑on work with: field research, ethnography, lab‑based user testing, remote testing, paper prototype testing, iterative prototype testing, concept testing, and survey design experience
• Bachelor's degree in HCDE, Human Factors, Cognitive Psychology, or a related field
• Experience in leading User Research projects with demonstrated impact
• Experience with all aspects of research (study design, recruiting, moderation, analysis, reporting)
• Have a portfolio demonstrating past work experience and deliverables (e.g., study plans, reports, personas)
• Master's degree in Human Factors, HCDE, Cognitive Psychology or equivalent
• Experience in a technical field (software development, network development, IT, other related)
• Experience with UX Research in non-US markets
• Experience working in a highly Agile/Scrum environment

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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