Amazon

Senior UX Researcher, AWS Experience Analytics (EXA)

Amazon Arlington, Virginia, United States · $152K–$206K/yr

Software Development · 10,001+ employees

Yesterday
ux-researcher Senior (5-10 yrs) Full-time United States
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About the role

Design and execute qualitative and quantitative research to inform agent-assisted experience strategy across AWS. Lead EXA data product delivery and partner with engineering teams to build agent tooling and research instrumentation.

What they look for

User research Qualitative research Quantitative research Agentic AI Data analysis Telemetry Product strategy Behavioral science HCI B2B research Python Prototyping Cross-functional collaboration Data product delivery Mentorship Experience health metrics

Requirements

Requires 5+ years of experience in user research and a PhD in HCI, Behavioral Science, or a related field. Candidates must demonstrate technical fluency, experience with B2B research, and the ability to triangulate customer insights with telemetry data.

Benefits

Health insurance Medical insurance Dental insurance Vision insurance Prescription insurance Basic life and AD&D insurance Supplemental life plans EAP Mental health support Medical advice line Flexible spending accounts Adoption and surrogacy reimbursement 401(k) matching Paid time off Parental leave Restricted stock units Sign-on payments

Full description

As AWS customers shift from console-based building to AI-augmented and agent-primary workflows, this role sits at the forefront of that transformation. You will lead research that shapes agentic products and experiences across AWS — cultivating new methodologies, partnering with science and engineering teams, and building the metrics and frameworks that assess experience impact at scale.

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

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