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
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
