Sr. 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, Communication Skills, Cross-Functional, Customer Acquisition, Customer Experience, Customer/Client Research, Data Analysis, Data Collection, Establish Priorities, Industry/Trade Analysis, Leadership, MATLAB, Machine Learning, Marketing, Math Software, Mentoring, Needs Assessment, Process Development, Process Improvement, Product Design, Product Development, Product Engineering, Product Strategy, Productivity Management, Prototyping, Python Programming/Scripting Language, Quality Management, Quantitative Analysis, R Programming Language, Research Skills, Risk, Risk Analysis, SQL (Structured Query Language), Scripting (Scripting Languages), Statistical Analysis System (SAS), Statistics, Statistics Software, Strategic Analysis, Test Plan/Schedule, Usability Engineering, User Interface/Experience (UI/UX)

LOCATION

Seattle, WA

POSTED

30+ days ago

Description We are seeking a Senior UX Researcher to help shape the future of AI-native business applications at AWS. In this role, you will lead high-impact research across a product area, helping teams understand customer needs, evaluate emerging concepts, and improve live experiences. Your work will reduce ambiguity, de-risk product and design decisions, and increase confidence that we are building solutions customers will adopt, trust, and find valuable. You will partner closely with Design, Product, Engineering, and Applied Science to ensure customer evidence informs both near-term product decisions and longer-term direction. You will lead tactical and foundational research in ambiguous spaces, apply strong methodological judgment, and translate complex findings into clear recommendations that influence roadmaps, priorities, and customer outcomes. This role is a strong fit for a researcher who can independently lead complex programs, shape the research approach for a broader problem space, and raise the quality of decision-making through credible, actionable insight. About you You are an experienced researcher with strong customer instinct, sound judgment, and the ability to operate independently in complex problem spaces. You know how to identify the most important questions, define the right research path, and generate insights that meaningfully influence product direction. You are comfortable balancing speed and rigor, navigating ambiguity, and helping teams make confident decisions when the path forward is not yet clear. You are skilled at leading end-to-end research, connecting multiple signals into a coherent point of view, and helping teams understand the implications of what they learn. You care not just about producing insights, but about shaping better products and stronger outcomes for customers and the business. You are also motivated to elevate the work around you through mentorship, thought partnership, and high standards for research craft. Key job responsibilities * Lead end-to-end research programs across a product area, including study design, recruitment, moderation, analysis, synthesis, and communication of findings * Drive a broad range of research, from rapid evaluative studies to foundational interviews, surveys, diary studies, journey research, and mixed-methods programs * Partner with senior cross-functional stakeholders to inform product strategy, evaluate concepts and prototypes, and improve live customer experiences * Define research plans for ambiguous problem spaces and use strong methodological judgment to select the right approach for the decision, product stage, and level of risk * Help teams reduce ambiguity and de-risk investments by identifying unmet customer needs, product gaps, adoption barriers, and trust issues early * Translate research findings into clear recommendations that improve usability, adoption, trust, and overall customer experience quality * Influence roadmaps and prioritization by ensuring customer evidence is visible, credible, and actionable at the right moments * Build deep domain expertise through ongoing study of customer workflows, prototypes, competitive products, and industry trends * Mentor junior researchers and contribute to raising the quality, consistency, and impact of research across the team * Explore thoughtful ways to use AI in the research and product development process where it improves speed, depth, or quality About the team 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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