Six Figure Work

Senior UX Researcher, Fauna

Amazon

Company websiteamazon.com (Amazon, opens in new tab)

Base salary $167,400  to $226,500

Employer-published annual base salary, USD. Advertised base range in New York, NY

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  • LocationNew York, NY
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (5 h ago) · observed since

About this job

Fauna Robotics is building capable, safe, and delightful robots for everyday life. We are hiring a Senior UX Researcher to uncover what makes robots welcome in human spaces. Joining at a formative time, you will have the opportunity to shape an entirely new category of product.

The ideal candidate connects research to product outcomes and is comfortable structuring work in a category with no established patterns. They are an expert at both in-lab and in-the-field research, collecting both quantitative and qualitative measures at different stages of development. They are excited by transformative human-computer interaction and provide the rigor needed to make it work for everyone.

Key job responsibilities

  • Decide what gets studied: identify the riskiest product bets and sequence research against the roadmap
  • Stand up and own a research practice — recruiting, protocols, measures, reporting — that will identify product risks and opportunities across the Fauna Robotics program
  • Run studies end to end: lab sessions, field work in homes and offices, concept and prototype evaluation, and longitudinal use over weeks
  • Define the experience metrics we track release over release, from task success and first-run experience through satisfaction and retention signals
  • Deliver findings while they are still cheap to act on, and work with design, product, and engineering to realize great user experiences
  • Develop a culture of proactive measurement and reflection by coaching across the organization

About the team

Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces.

We believe that future won’t arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We’re changing that by developing tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real-world robotic products.

Our work spans the full stack: mechanical design, control systems, dynamic modeling, and intelligent software. The focus is not just functionality, but experience. We’re building robots that feel responsive, expressive, and genuinely useful.

At Fauna, you’ll work at the frontier of this space, helping define how robots move, manipulate, and interact with people in natural environments. It’s an opportunity to solve hard problems across hardware and software with a team focused on making robotics accessible and joyful to build.

If you care about making robotics real for everyone and building systems that are as delightful as they are capable, we’re interested in hearing from you.

Basic Qualifications

  • 5+ years of proven success leading User Research projects with demonstrated impact experience
  • 5+ years of hands-on work with: field research, ethnography, lab-based user testing, remote testing, paper prototype testing, iterative prototype testing, concept testing, and survey design experience
  • Bachelor's degree in HCDE, Human Factors, Cognitive Psychology, or a related field
  • Experience in leading User Research projects with demonstrated impact
  • Experience with field research, ethnography, lab-based user testing, remote testing, paper prototype testing, iterative prototype testing, concept testing, and survey design
  • Experience with all aspects of research (study design, recruiting, moderation, analysis, reporting)
  • Experience with behavioral data collection, quantitative data analysis, and statistics
  • Have a portfolio demonstrating past work experience and deliverables (e.g., study plans, reports, personas)

Preferred Qualifications

  • Master's degree in Human Factors, HCDE, Cognitive Psychology or equivalent
  • Familiarity with human-robot interaction, conversational or agentic systems, or other embodied experiences
  • Longitudinal or in-home research with a physical product
  • Demonstrated research outcomes on a 0 to 1 product or a new category
  • Experience using AI-assisted tools in research workflows

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

Source: Amazon · View original posting (opens in new tab)

Pay in context

This role's base floor ($167,400) is above 49% of the 212 Design roles in New York listed on this site; 1 other lists the same floor. Their median floor is $167,450; the middle half runs from $147,000 to $197,750.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.

This range next to 6 other live Amazon roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Amazon roles with the nearest advertised base floor
RolePublished base
Senior UX Researcher, Fauna (this listing)$167,400 - $226,500
Software Development Engineer, Neuron Collectives, Annapurna Labs$165,200 - $223,600
Software Development Engineer -Control Plane, AWS Scalable Intent Driven Routing (SIDR)$165,200 - $223,600
Software Engineer II - AI/ML, Neuron Inference, Neuron Inference$165,200 - $223,600
Software Dev Engineer II - AMZ27744.1$165,200 - $223,600
Machine Learning Engineer, FAI$165,200 - $223,600
Software Development Engineer, AI/ML, AWS Neuron, Model Inference$165,200 - $223,600

Same $100K to $400K scale as every card. All Amazon roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2026-08-15
Where this pay comes from

Location as the employer wrote it: US, NY, New York

USA, NY, New York - 167,400.00 - 226,500.00 USD annually

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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