Quantitative UX Researcher, Applied AI Solutions

Amazon • Seattle, WA

1d

About The Position

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.

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.

Requirements

• 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

Nice To Haves

• 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

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.

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level