We are seeking a Quantitative UX Researcher who is excited to help shape the future of AI-native business applications. This is an opportunity to influence product direction by helping teams understand how customers interact with AI-powered experiences and what drives adoption, trust, usability, and customer value.

In this role, you will lead quantitative research that helps teams build, test, and learn faster. You will turn product questions into clear hypotheses, success metrics, well-designed studies, and actionable insights. Your work will help teams evaluate new ideas, improve existing experiences, and make better product decisions.

This is a quant-first role with mixed-methods responsibilities as needed. We are looking for a researcher with strong skills in experimentation, analytics, behavioral analysis, and causal inference. You should be comfortable working in ambiguous, early-stage spaces and helping teams define how success should be measured for new AI-powered products. You will identify meaningful behavioral and attitudinal signals, measure product performance, and recommend improvements based on the evidence.

• Key job responsibilities
• Lead quantitative and mixed-methods research for AI-powered products, including early-stage concepts and evolving customer experiences.
• Own studies from end to end, including framing research questions, defining hypotheses, selecting methods, identifying measures, analyzing results, and communicating recommendations.
• Design and run experiments, surveys, and behavioral analyses that help teams understand customer needs, product performance, and opportunities for improvement.
• Define and track success metrics related to adoption, trust, usability, comprehension, and customer value in AI-powered experiences.
• Combine findings across research, product usage, and customer feedback to generate clear insights and practical product recommendations.
• Partner closely with product, design, and engineering to support a build, test, learn approach, where evidence informs decisions throughout the product lifecycle.

About the team
AWS Applied AI Solutions is an organization with ambitions to be a leading provider of business applications, leveraging Amazon's unique experience and expertise, used by millions of companies worldwide to manage day-to-day operations. Our mission is to accelerate our customers' businesses by delivering intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.

The AWS Applied AI Solutions team is at the forefront of AI innovation, designing and building the next generation of intelligent business applications. We work closely with global Product, Engineering, Science, Marketing, and Business Development teams to deliver compelling AI-powered experiences that transform how businesses operate. Our research team plays a critical role in ensuring these AI solutions are not just technically advanced, but truly meet customer needs and drive meaningful customer outcomes.

Basic Qualifications

• 3+ years of proven success leading User Research projects with demonstrated impact experience
• Experience (end to end) 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 a quantitative field
• Experience working with data and leveraging analytics to make decisions
• Experience with AI/ML technologies
• Knowledge of quantitative data analysis and statistics
• Experience with Python or R

Preferred Qualifications

• Experience communicating research findings and analysis in both written and spoken channels
• Experience developing and launching V1 products
• Experience building scalable programs and repeatable scalable processes, levering various tools and methods to create scale and efficiency

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NY, New York - 143,100.00 - 193,600.00 USD annually
USA, WA, Seattle - 130,100.00 - 176,000.00 USD annually