Senior UX Researcher, AWS Experience Analytics (EXA)
Amazon is hiring a Senior UX Researcher, AWS Experience Analytics (EXA) in Seattle, United States. It pays $152k-$206k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions Agentic Tools, ux research and user research among its tools and skills.
- Level classes it as a senior role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Lead UX research shaping agentic AI products, workflows, and customer experiences across AWS platforms.
We are seeking a UX Researcher with deep experience in agentic tools and large-scale systems. You will deliver insights that inform Experience Health metrics and segmentation, product strategy for AI-first and agent customers, and define where humans remain in the loop. This role requires a strong balance of technical fluency and a deep understanding of humans and their expected outcomes.
You will bring creativity and a Learn and Be Curious mindset, partnering with science, engineering, and product teams across AWS to deliver solutions at scale. We move fast, and we need someone who can keep pace while maintaining a high bar for quality.
The problems are genuinely interesting. With wide adoption of agentic AI, customer needs and expectations are changing fundamentally — and there are many new problems we do not yet have answers for. We have more questions than we can conduct research to answer, and that is where you come in.
Key job responsibilities
Design and execute qualitative and quantitative research to inform agent and agent-assisted experience strategy across AWS
Partner with engineering teams to build agent tooling and research instrumentation
Develop thought leadership on AI-augmented and agent-primary experiences that influences product development across AWS
Lead EXA data product delivery with cross-functional teams, bringing the AI-first and agent-customer perspective
Build prototypes using agentic tools to bring research insights to life and communicate ideas to stakeholders
Contribute to the team's research direction by proposing new approaches, maintaining the research knowledge base, and identifying emerging behaviors
Mentor junior researchers
About the team
AWS Experience Analytics (EXA) turns customer understanding into products and intelligence that teams across AWS can use. We are building a unified customer lifecycle data platform and customer intelligence system that delivers deep customer understanding at scale. Our team approaches data both qualitatively and quantitatively, fusing customer insights with telemetry to tell actionable customer stories — insight is the critical layer that makes data meaningful.
Basic qualifications
- 5+ years of proven success leading User Research projects with demonstrated impact experience
- 5+ years of supporting quantitative and qualitative consumer research experience
- Can show strong verbal and written communication skills
- PhD in HCI or Behavioral Science or related field
- Experience conducting B2B research
- Fluency in triangulating customer insights with telemetry data
Preferred qualifications
- Experience in a technical field (software development, network development, IT, other related)
- Experience working with a large-scale technology platform
- Experience working with agent-supported, non-deterministic experiences
- Experience with metrics or behavioral segmentation
- Ability to work with Python or equivalent programming languages
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, VA, Arlington - 152,200.00 - 205,900.00 USD annually
USA, WA, Seattle - 152,200.00 - 205,900.00 USD annually
How we rate this
Senior UX Researcher, AWS Experience Analytics (EXA) at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where ux research was part of your work. What did you do?
- Tell me about a project where user research was part of your work. What did you do?
- Tell me about a project where agentic ai was part of your work. What did you do?
- Tell me about a project where qualitative research was part of your work. What did you do?
- Tell me about a project where quantitative research was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: UX Research, User Research, Agentic AI, Qualitative Research, and Quantitative Research. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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