Sr. Quantitative UX Researcher, Applied AI Solutions
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Were 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 Amazons 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 Amazons 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 Amazons 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.
- 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
- Masters degree or equivalent in a quantitative field or Doctorate/PhD or equivalent
- 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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 Amazons 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 Amazons 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.
- 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
- Masters degree or equivalent in a quantitative field or Doctorate/PhD or equivalent
- 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 for more information. If the country/region youre applying in isnt 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 NY New York - 167400.00 - 226500.00 USD annually
USA WA Seattle - 152200.00 - 205900.00 USD annually
Required Experience:
Senior IC
Key Skills
About Company
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