Sr. Quantitative UX Researcher, Applied AI Solutions

Amazon

Seattle, WA

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JOB DETAILS

SKILLS

Advertising, Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Business Development, Business Model, Business Solutions, Business Strategy, Channel Strategies, Communication Skills, Customer/Client Research, Data Analysis, Data Collection, Experiment Design, Human Interaction, Industry Standards, Leadership, MATLAB, Machine Learning, Marketing, Math Software, Metrics, Performance Metrics, Process Development, Process Improvement, Product Design, Product Engineering, Productivity Management, Python Programming/Scripting Language, Quality Management, Quantitative Analysis, Quantitative Research, R Programming Language, Research Skills, SQL (Structured Query Language), Scripting (Scripting Languages), Standards Development, Statistical Analysis System (SAS), Statistics, Statistics Software, Storytelling, Test Plan/Schedule, Testing, User Interface/Experience (UI/UX)

LOCATION

Seattle, WA

POSTED

4 days ago

Description 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. As a Sr. Quantitative UX Researcher, you will own experimental design, quantitative analysis, insight generation, and the measurement strategies that turn AI capabilities into meaningful, trustworthy, and human-centered experiences for millions of customers worldwide. You will help teams build, test, and learn faster by turning ambiguous product questions into clear hypotheses, meaningful success metrics, rigorous studies, and decision-ready evidence. Your work will be instrumental to how we evaluate early ideas, improve production experiences, and decide where to invest next. This is a quant-first role, with mixed-methods responsibilities as needed. We are looking for a researcher with deep expertise in experimentation, analytics, behavioral analysis, causal inference, and predictive intelligence. You will work in 0 to 1 environments, define success for new agentic AI products, and create new ways to measure experiences that do not yet have established playbooks. You will define success metrics for agentic AI products, identify the behavioral and attitudinal signals that matter most, and drive optimizations based on what the data shows. You will also invent AI-enabled tools, frameworks, and processes that improve how teams learn internally and scale research impact across the organization. Key job responsibilities - 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 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 business outcomes. Basic Qualifications - Have a portfolio demonstrating past work experience and deliverables (e.g., study plans, reports, personas) - 5+ years of proven success leading User Research projects with demonstrated impact experience - Knowledge of quantitative approaches (e.g., t-tests, regressions, ANOVAs, etc.) - 8+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - Experience working with or evaluating AI systems - Experience with behavioral data collection, quantitative data analysis, and statistics - Master's degree or equivalent in a quantitative field, or Doctorate/PhD or equivalent Preferred Qualifications - Experience creating processes and improving tools that have measurably improved productivity, quality, or advertiser experience - Experience with innovation, development, testing - Experience communicating effectively with senior leadership - Experience in building machine learning models for business application 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 - 167,400.00 - 226,500.00 USD annually USA, WA, Seattle - 152,200.00 - 205,900.00 USD annually

About the Company

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

1994

WEBSITE

http://Amazon.com/militaryroles

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