Drimva

Amazon

Sr. UX Researcher Mixed Methods, Amazon Customer Service

$152K–$206K

Seattle, WA · Senior · Full-time · Posted Sep 3, 2026

Experience
5+ years for user research project leadership and hands-on research methods.
Education
Bachelor's degree in HCDE, Human Factors, Cognitive Psychology, or a related field; preferred: Master's degree in Human Factors, HCDE, Cognitive Psychology or equivalent.

About the job

Leads mixed-methods UX research for Amazon’s Voice of Customer products, shaping tools that help teams analyze customer feedback and improve customer service experiences.

What you'll do

  • Plan and prioritize a research roadmap with design and product teams, refreshing plans as needs change.
  • Design and conduct generative and evaluative research, including interviews, observation, surveys, usability testing, and heuristic evaluations.
  • Synthesize qualitative and quantitative findings into actionable insights and communicate them to design, product, technology, and leadership teams.

What they ask for

  • 5+ years leading user research projects with demonstrated impact.
  • 5+ years of hands-on experience with field research, ethnography, lab-based and remote testing, prototype and concept testing, and survey design.
  • Bachelor's degree in HCDE, Human Factors, Cognitive Psychology, or a related field.
  • Experience across research study design, recruiting, moderation, analysis, reporting, behavioral data collection, quantitative analysis, and statistics; portfolio of work and deliverables.

Nice to have

  • Master's degree in Human Factors, HCDE, Cognitive Psychology or equivalent.
  • Experience in a technical field, UX research in non-US markets, or a highly Agile/Scrum environment.

Pay

152,200.00 - 205,900.00 USD annually (base salary)

AI focus

Researches and informs Voice of Customer tools that use machine learning and AI to analyze customer feedback patterns, identify emerging issues, and support proactive solutions.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)