Sr Principal UX Researcher, AWS Applied AI Solutions

Amazon • Sunnyvale, CA

1d

About The Position

We're seeking a Sr. Principal UX Researcher who is passionate about shaping the
future of AI-native business applications at scale. This is a rare opportunity
to define the research vision for Amazon's next generation of AI-powered
solutions — influencing not just product direction, but the broader field of
human-AI interaction. As a Sr. Principal UX Researcher, you will architect
research strategy that spans across multiple AI solutions, customer journeys,
and organizational boundaries, turning AI capabilities into meaningful,
trustworthy, and human-centered experiences for millions of customers worldwide.
You will operate at the highest levels of research leadership, setting the bar
for how research and AI intersect across AWS, shaping organizational strategy,
and establishing the standards by which the entire research discipline operates.
You will influence product, business, and organizational strategy at the
executive level, develop and grow a team of researchers, and partner with the
most senior leaders across design, science, engineering, and product to push the
boundaries of what's possible with AI-driven user experiences.

You will be a player-coach expected to be hands-on in tactics, strategy, and
vision, while also setting the long-term direction for a high-impact team of
researchers and elevating the craft of UX research across AWS.

Requirements

• 10+ years conducting UX research on products and working in close partnership with executive and C-suite leadership
• Deep technical proficiency in diverse research methods, including quantitative analysis, qualitative research, and mixed-methods approaches, with demonstrated expertise in AI/ML product research
• Master's or PhD degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, Data Science, or related field
• Proven track record of influencing organizational strategy and executive decision-making through user research findings
• Demonstrated expertise in survey design, statistical modeling, causal inference, experimental design, and advanced behavioral analytics
• Proven ability to build and scale research programs from the ground up in highly ambiguous, fast-paced environments
• Experience leading, mentoring, and developing research teams across multiple levels of seniority

Nice To Haves

• PhD in Human-Computer Interaction, Cognitive Science, Behavioral Science, Statistics, or a related field, with a research focus on human-AI interaction, trust in automated systems, or decision-making under uncertainty
• 16+ years of UX research experience, including demonstrated impact at the organizational or industry level through research programs that have shaped product strategy, business direction, or the broader research discipline
• Proven experience building and scaling research functions within large, matrixed organizations — including hiring, developing, and retaining senior research talent
• Deep expertise in AI/ML product research, including experience studying how customers build trust in AI systems, interpret AI-generated outputs, and adopt AI-powered workflows in enterprise or consumer contexts
• Experience conducting research on agentic AI systems, large language model (LLM)-powered products, or generative AI applications, with the ability to design novel methodologies where established frameworks do not yet exist
• Track record of publishing, presenting, or contributing to the broader UX research or human-AI interaction community (e.g., CHI, CSCW, NeurIPS, internal research symposia, or equivalent)
• Demonstrated ability to influence without authority across organizational boundaries — driving alignment and action among senior leaders, cross-functional partners, and external stakeholders
• Experience establishing research operations infrastructure at scale, including tooling, governance, participant recruitment pipelines, and research repository systems
• Expertise in responsible AI research practices, including accessibility, inclusive design, algorithmic fairness, and ethical considerations in AI deployment
• Familiarity with AWS cloud services, enterprise software ecosystems, or B2B SaaS product environments, with the ability to quickly develop deep domain fluency

Responsibilities

• Define and Own the Research Vision: Establish the multi-year UX research vision and strategy across AWS Applied AI Solutions, ensuring research insights drive intuitive, elegant, and scalable customer experiences at an organizational level
• Lead the Most Complex Research Initiatives: Own and drive the highest-impact, most ambiguous research programs across AWS — where AI product and business strategy is undefined and the stakes are highest
• Pioneer AI-Native Research Innovation: Set the industry standard for AI-focused user research by inventing and adapting methodologies to understand how customers interact with AI systems, building trust, and driving adoption at scale
• Executive-Level Strategic Influence: Shape product, business, and organizational direction at the VP and SVP level, identifying transformational opportunities where research insights can redefine AI-powered customer outcomes
• Establish Cross-Org Research Standards: Define and institutionalize research frameworks, measurement criteria, and reusable methodologies that create consistency and raise the bar across all AI solutions and teams within AWS
• Organizational Leadership and Talent Development: Build, mentor, and elevate a team of researchers from junior to senior levels; model research excellence and raise the overall quality of research craft, storytelling, and strategic impact across the organization
• Advanced and Emerging Research Methods: Independently design and lead the most sophisticated quantitative and qualitative research programs, including survey design, statistical modeling, behavioral analytics, causal inference, and experimental design for AI systems
• Data Synthesis and Executive Storytelling: Triangulate research insights with engagement metrics, experiment data, user logs, and AI performance metrics to craft compelling, executive-ready narratives that drive product improvements and long-term business strategy
• Mechanisms for Organizational Influence: Build scalable mechanisms for communicating insights and influencing decision-makers at all levels — from product teams to C-suite — driving customer delight and measurable business outcomes

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree