Description 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, then 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 to optimize performance across Product, Engineering, and Business initiatives. * Lead the socialization of quantitative insights, supplemented by targeted qualitative research when needed, presenting data-driven findings to senior leadership and serve as a subject matter expert in UX research methodologies. A day in the life 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, you know when to supplement with targeted 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. About the team The Sponsored Products Marketplace Intelligence team within Sponsored Products and Brands is responsible for ranking, placing and pricing billions of ads per day. We seek a Senior UX Researcher to lead initiatives focused on improving the shopper experience through innovations ranging from training AI models, influencing ML modeling to designing new interactive discovery experiences. In this role, you'll have an opportunity to deliver outsized business impact and delight hundreds of missions of customers. Basic Qualifications - Experience with behavioral data collection, quantitative data analysis, and statistics - 7+ 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) - Experience with behavioral data collection, quantitative data analysis, and statistics - Have a portfolio demonstrating past work experience and deliverables (e.g., study plans, reports, personas) Preferred Qualifications - 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. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $137,000/year in our lowest geographic market up to $226,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.