Sr. UX Researcher, Applied AI Solutions

About the role

The AWS Applied AI Solutions team is at the forefront of AI innovation, designing and building the next generation of intelligent business applications. We work closely with global Product, Engineering, Science, Marketing, and Business Development teams to deliver compelling AI-powered experiences that transform how businesses operate. Our research team plays a critical role in ensuring these AI solutions are not just technically advanced, but truly meet customer needs and drive meaningful business outcomes.

Requirements

• Have a portfolio demonstrating past work experience and deliverables (e.g., study plans, reports, personas)
• 5+ years of proven success leading User Research projects with demonstrated impact experience
• Knowledge of quantitative approaches (e.g., t-tests, regressions, ANOVAs, etc.)
• 8+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• Experience working with or evaluating AI systems
• Experience with behavioral data collection, quantitative data analysis, and statistics
• Master's degree or equivalent in a quantitative field, or Doctorate/PhD or equivalent
• Experience creating processes and improving tools that have measurably improved productivity, quality, or advertiser experience
• Experience with innovation, development, testing
• Experience communicating effectively with senior leadership
• Experience in building machine learning models for b

Additional Information

We are seeking a Senior UX Researcher to help shape the future of AI-native business applications at AWS. In this role, you will lead high-impact research across a product area, helping teams understand customer needs, evaluate emerging concepts, and improve live experiences. Your work will reduce ambiguity, de-risk product and design decisions, and increase confidence that we are building solutions customers will adopt, trust, and find valuable. You will partner closely with Design, Product, Engineering, and Applied Science to ensure customer evidence informs both near-term product decisions and longer-term direction. You will lead tactical and foundational research in ambiguous spaces, apply strong methodological judgment, and translate complex findings into clear recommendations that influence roadmaps, priorities, and customer outcomes. This role is a strong fit for a researcher who can independently lead complex programs, shape the research approach for a broader problem space, and raise the quality of decision-making through credible, actionable insight. About you You are an experienced researcher with strong customer instinct, sound judgment, and the ability to operate independently in complex problem spaces. You know how to identify the most important questions, define the right research path, and generate insights that meaningfully influence product direction. You are comfortable balancing speed and rigor, navigating ambiguity, and helping teams make confident decisions when the path forward is not yet clear. You are skilled at leading end-to-end research, connecting multiple signals into a coherent point of view, and helping teams understand the implications of what they learn. You care not just about producing insights, but about shaping better products and stronger outcomes for customers and the business. You are also motivated to elevate the work around you through mentorship, thought partnership, and high standards for research craft. Key job responsibilities * Lead end-to-end research programs across a product area, including study design, recruitment, moderation, analysis, synthesis, and communication of findings * Drive a broad range of research, from rapid evaluative studies to foundational interviews, surveys, diary studies, journey research, and mixed-methods programs * Partner with senior cross-functional stakeholders to inform product strategy, evaluate concepts and prototypes, and improve live customer experiences * Define research plans for ambiguous problem spaces and use strong methodological judgment to select the right approach for the decision, product stage, and level of risk * Help teams reduce ambiguity and de-risk investments by identifying unmet customer needs, product gaps, adoption barriers, and trust issues early * Translate research findings into clear recommendations that improve usability, adoption, trust, and overall customer experience quality * Influence roadmaps and prioritization by ensuring customer evidence is visible, credible, and actionable at the right moments * Build deep domain expertise through ongoing study of customer workflows, prototypes, competitive products, and industry trends * Mentor junior researchers and contribute to raising the quality, consistency, and impact of research across the team * Explore thoughtful ways to use AI in the research and product development process where it improves speed, depth, or quality

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