UX Researcher, AWS Applied AI Solutions

📍 Job Overview

Job Title: UX Researcher, AWS Applied AI Solutions

Company: Amazon

Location: Sunnyvale, California, United States; Seattle, Washington, United States; New York, New York, United States

Job Type: Full-Time

Category: User Experience Research / Product Research

Date Posted: March 12, 2026

Experience Level: 2-5 Years (Applied Research)

Remote Status: On-site

🚀 Role Summary

• Conduct comprehensive user research to deeply understand customer needs, pain points, and behaviors within the context of AI-driven business applications.

• Partner closely with cross-functional teams including Product Managers, Designers, Engineers, and other Researchers to translate research insights into actionable product and design decisions.

• Execute end-to-end research projects, from study design and participant recruitment to data analysis, synthesis, and clear communication of findings.

• Employ a variety of research methodologies, including both tactical (e.g., usability testing) and foundational (e.g., in-depth interviews, surveys) approaches, to de-risk product development and increase confidence in building the right solutions.

• Contribute to the development of AI-powered business applications by ensuring customer-centricity and usability are prioritized throughout the product lifecycle.

📝 Enhancement Note: While the original input is for a UX Researcher role, this enhancement focuses on framing it within a "Revenue Operations" or "GTM Operations" lens by emphasizing how UX research directly impacts product adoption, customer satisfaction, and ultimately, revenue generation and customer lifetime value. The "AWS Applied AI Solutions" context suggests a focus on B2B applications, which are critical for operational efficiency and revenue growth of client businesses.

📈 Primary Responsibilities

• Design, plan, and execute a variety of user research studies, including usability tests, in-depth interviews, surveys, diary studies, and concept evaluations, to gather insights on customer needs for AI-powered business solutions.

• Analyze and synthesize qualitative and quantitative research data to identify key user pain points, unmet needs, and opportunities for product improvement and innovation.

• Collaborate with product managers, designers, and engineers to integrate user feedback and insights into the product development roadmap and iterative design cycles.

• Present research findings and actionable recommendations to stakeholders at all levels, including executive leadership, to inform strategic product decisions and drive customer-centric development.

• Build and maintain a deep understanding of customer workflows, industry trends, and the competitive landscape for AI-driven business applications to ensure product relevance and impact.

• Contribute to the team's understanding of how to effectively leverage AI tools within the research process itself, promoting efficiency and innovation in research practices.

• Evaluate the usability, adoption, and trust associated with AI-powered features and products, providing data-driven recommendations for enhancement.

• Develop and maintain a strong domain knowledge of AWS Applied AI Solutions and their target customer segments.

📝 Enhancement Note: These responsibilities have been expanded to highlight the direct link between UX research outcomes and business objectives, such as improving product adoption (which drives revenue), enhancing customer trust (which fosters retention), and informing product strategy (which impacts market positioning and competitive advantage). The emphasis on "AI-powered business applications" is framed as tools that drive operational efficiency and revenue for their customers.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Human Factors, Human-Computer Interaction (HCDE), Cognitive Psychology, Computer Science, Design, Statistics, or a related field.

• 📝 Enhancement Note: A Bachelor's degree is the minimum requirement. While not explicitly stated as a GTM Operations role, the foundational understanding of user behavior and product interaction is critical for driving adoption, which is a key GTM metric.

Experience:

• Minimum of 2 years of applied UX research experience, demonstrating proficiency across the entire research lifecycle.

• 📝 Enhancement Note: This experience level suggests a candidate who can independently manage research projects while also benefiting from mentorship. For a GTM-aligned role, this experience should ideally include research that directly influenced product strategy, user adoption, or customer retention.

Required Skills:

• Proficiency in designing, conducting, and analyzing various research methodologies, including usability testing, in-depth interviews, surveys, and diary studies.

• Strong ability to translate complex research findings into clear, concise, and actionable recommendations for product and design teams.

• Excellent written and verbal communication skills, with the ability to present technical information effectively to diverse audiences, including executive leadership.

• Demonstrated experience in managing all aspects of the research process, from study design and participant recruitment to data analysis, synthesis, and reporting.

• A portfolio showcasing past UX research work, including study plans, reports, personas, and other relevant deliverables.

• Ability to work effectively in a fast-paced, ambiguous environment and collaborate cross-functionally with designers, product managers, and engineers.

Preferred Skills:

• Master's degree in a related field (e.g., Computer Science, HCI, Psychology, Design, Statistics).

• Experience with Artificial Intelligence (AI) and Machine Learning (ML) technologies, particularly in the context of business applications.

• Experience with both qualitative and quantitative research methods, and deep expertise in one or more research areas.

• Familiarity with the AWS ecosystem and its applied AI solutions.

• Experience in quickly building domain knowledge and understanding customer workflows within specific industries.

📝 Enhancement Note: The "Preferred Qualifications" highlight AI/ML experience, which is directly relevant to the "AWS Applied AI Solutions" context. For a GTM operations lens, understanding AI/ML helps in researching products that drive significant business value and operational efficiency for clients.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio demonstrating a strong understanding of the end-to-end UX research process.

• Examples of study designs tailored to specific research questions and objectives, showcasing methodological rigor.

• Deliverables such as detailed research reports, user personas, journey maps, and usability findings that clearly articulate insights and their impact.

• Evidence of how research findings have directly informed product decisions, design iterations, or strategy adjustments.

Process Documentation:

• Showcase examples of research plans that outline objectives, methodologies, participant criteria, and timelines.

• Include documentation of how research findings were communicated to stakeholders, including presentations, reports, or workshops.

• Demonstrate an understanding of how research integrates into agile development cycles and product roadmapping processes.

• Examples of how research has contributed to improving product adoption, user satisfaction, or overall customer experience metrics.

📝 Enhancement Note: The portfolio requirements are framed to highlight the researcher's ability to contribute to product success, which directly impacts GTM strategies and revenue. Demonstrating how research translates into tangible improvements in adoption and user experience is key.

💵 Compensation & Benefits

Salary Range:

• Sunnyvale, California: $90,300 - $158,100 USD annually

• New York, New York: $89,100 - $155,900 USD annually

Benefits:

• Comprehensive health insurance package (medical, dental, vision, prescription coverage).

• Basic Life & AD&D insurance with optional supplemental life plans.

• Employee Assistance Program (EAP) and Mental Health Support.

• Medical Advice Line.

• Flexible Spending Accounts.

• Adoption and Surrogacy Reimbursement coverage.

• 401(k) matching program.

• Paid Time Off (PTO).

• Parental Leave.

Working Hours:

• Standard full-time work week of 40 hours.

• 📝 Enhancement Note: While the role is on-site, Amazon often offers flexibility in work schedules, which can be beneficial for deep research work and data analysis.

📝 Enhancement Note: The salary ranges provided are specific to the listed US locations and reflect typical industry standards for a UX Researcher with 2-5 years of experience in major tech hubs. The compensation structure at Amazon, including sign-on bonuses and RSUs, is typical for its experienced hires and competitive within the tech industry. Benefits are comprehensive, supporting employee well-being and financial security.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Cloud Computing, Artificial Intelligence, Business Applications

Company Size: Enterprise (Over 10,000 employees)

Founded: 1994

Company Description: Amazon.com, Inc. is an American multinational technology company focusing on e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence. It is one of the largest online retailers and cloud service providers globally. AWS (Amazon Web Services) is Amazon's cloud computing arm, offering a broad range of services to businesses worldwide.

Team Structure:

• The AWS Applied AI Solutions team is a specialized unit within AWS focused on developing AI-native business applications.

• This team likely comprises Product Managers, UX Designers, UX Researchers, Software Development Engineers, Machine Learning Scientists, and Business Development professionals.

• The UX Researcher will report to a senior researcher or a UX Lead within the Applied AI Solutions organization, collaborating closely with product and engineering teams.

Methodology:

• Data-driven decision-making is a core tenet at Amazon, and this applies to product development and customer experience.

• The team will likely employ agile development methodologies, with UX research integrated throughout the product lifecycle to provide continuous customer feedback.

• Emphasis on understanding customer workflows and business challenges to build "opinionated, turnkey solutions" that are easy to adopt and use.

• A focus on identifying and solving "enduring business challenges" for customers, leveraging AI to provide differentiated value.

Company Website: https://www.amazon.com, https://aws.amazon.com/

📝 Enhancement Note: The company context highlights Amazon's scale and its commitment to innovation, particularly in AI. The "Applied AI Solutions" team's mission to provide "no-brainers to buy and easy to use" solutions directly aligns with GTM objectives of rapid adoption and customer success. The research role is positioned to directly impact the market viability and user acceptance of these critical AI products.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as an applied UX Researcher with 2-5 years of experience. It's a mid-level individual contributor role focused on executing research and contributing insights to product teams.

Reporting Structure: The UX Researcher will likely report to a Senior UX Researcher, UX Manager, or a Research Lead within the AWS Applied AI Solutions organization. They will work closely with product managers, designers, and engineers on specific product initiatives.

Operations Impact: While not a traditional "Operations" role, the UX Researcher's work has a significant impact on GTM success. By ensuring products are user-centric, intuitive, and meet customer needs, the researcher directly influences:

• Product Adoption: Easier-to-use AI solutions lead to faster onboarding and broader adoption by businesses.

• Customer Satisfaction & Retention: Positive user experiences foster customer loyalty, reducing churn and increasing lifetime value.

• Sales Enablement: Well-researched products can be more effectively positioned and sold by the sales team, as their value proposition is clear and validated.

• Revenue Growth: Increased adoption and retention directly contribute to revenue generation for AWS Applied AI Solutions.

Growth Opportunities:

• Deepening AI/ML Research Expertise: Opportunity to specialize in researching complex AI/ML-powered business applications, becoming a subject matter expert.

• Mentorship from Senior Researchers: Learning advanced research techniques and strategic thinking from experienced professionals within Amazon's robust research community.

• Cross-Functional Leadership: Leading research initiatives that influence product strategy and gain visibility across product, design, and engineering teams.

• Career Progression: Potential to move into Senior UX Researcher, Research Lead, or UX Manager roles, or to transition into related product management or strategy roles within AWS.

• Impact on Global Products: Contributing to products used by millions of companies worldwide, offering a significant scale of impact.

📝 Enhancement Note: This analysis reinterprets the UX Researcher role through a GTM operations lens, demonstrating its critical contribution to revenue generation, customer acquisition, and retention by ensuring product market fit and user adoption.

🌐 Work Environment

Office Type: The role is primarily on-site, indicating a traditional office environment that fosters in-person collaboration, ideation, and team cohesion.

Office Location(s): Sunnyvale, California; Seattle, Washington; New York, New York. These are major technology hubs offering access to talent and industry networks.

Workspace Context:

• Collaborative Environment: Expect a dynamic, collaborative workspace where researchers work alongside designers, product managers, and engineers, facilitating rapid iteration and feedback loops.

• Access to Tools & Technology: Researchers will have access to industry-standard UX research tools, software, and potentially internal Amazon platforms for study execution, analysis, and reporting.

• Team Interaction: Opportunities for regular team meetings, brainstorming sessions, and knowledge-sharing forums with other UX researchers and GTM professionals within AWS.

Work Schedule:

• A standard 40-hour work week is expected. However, the nature of research may require flexibility to accommodate participant schedules or project deadlines, typical in fast-paced tech environments.

📝 Enhancement Note: The on-site nature of the role is emphasized as beneficial for the close collaboration required in product development, which is crucial for translating research insights into actionable GTM strategies.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your resume and portfolio to assess qualifications and fit.

• Hiring Manager Interview: A discussion focused on your experience, research philosophy, and understanding of the role.

• Research Panel Interviews: Multiple interviews with senior researchers and cross-functional partners (designers, PMs) to evaluate your research skills, problem-solving abilities, and collaboration style.

• Portfolio Presentation: A dedicated session where you will present a case study from your portfolio, detailing a research project from inception to impact.

• Final Interview: Potential discussion with a senior leader to assess strategic thinking and cultural alignment.

Portfolio Review Tips:

• Focus on Impact: For each project, clearly articulate the business problem, your role, the research methodology used, key findings, and most importantly, the impact of your research on the product or business. Quantify impact where possible (e.g., "led to a 15% increase in task completion rate," "informed a product pivot that improved adoption by X%").

• Showcase Process: Demonstrate your thought process, from defining research questions to choosing methodologies and synthesizing data. Explain why you made certain choices.

• Tailor to AI/B2B: If possible, highlight projects related to complex systems, B2B applications, or AI-driven features, as this aligns with the role's context.

• Clarity and Conciseness: Ensure your portfolio is well-organized, visually appealing, and easy to navigate. Use clear language and avoid excessive jargon.

• Deliverables: Include examples of research plans, discussion guides, raw data samples (anonymized), synthesized findings, and actionable recommendations.

Challenge Preparation:

• Be prepared for case studies or hypothetical research scenarios. Think about how you would approach understanding a new AI feature, identifying user pain points, or evaluating a prototype.

• Practice articulating your research process and findings concisely and persuasively.

• Understand Amazon's Leadership Principles and be ready to provide examples of how your work embodies them (e.g., Customer Obsession, Bias for Action, Dive Deep).

📝 Enhancement Note: This section provides practical advice for candidates, emphasizing how to present their UX research experience in a way that resonates with the business impact and GTM objectives relevant to Amazon's Applied AI Solutions.

🛠 Tools & Technology Stack

Primary Tools:

• Research Platforms: Tools for survey creation (e.g., SurveyMonkey, Qualtrics), user interview scheduling and moderation (e.g., Zoom, UserTesting.com, Lookback), and participant recruitment (e.g., UserInterviews.com, respondent panels).

• Data Analysis Software: Tools for qualitative data analysis (e.g., Dovetail, NVivo) and quantitative data analysis (e.g., Excel, R, SPSS, Python for statistical analysis).

• Collaboration & Documentation: Tools like Confluence, Jira, Google Workspace (Docs, Sheets, Slides), and Figma for sharing findings, creating documentation, and collaborating with teams.

Analytics & Reporting:

• Familiarity with analytics platforms (e.g., Google Analytics, Adobe Analytics) to understand product usage patterns and complement qualitative insights.

CRM & Automation:

• While not a direct CRM role, understanding how user feedback can inform CRM strategies or how product adoption impacts customer segmentation within CRM systems is beneficial.

• Awareness of how AI-powered tools might integrate with existing business workflows and systems.

📝 Enhancement Note: This section highlights the technical proficiency expected from a UX Researcher, emphasizing tools that support data collection, analysis, and communication, all of which are critical for informing GTM strategies and product development.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: A fundamental Amazon principle. The UX Researcher will embody this by deeply understanding and advocating for the customer's needs and experience.

• Bias for Action: Encouragement to take initiative, conduct research efficiently, and deliver insights promptly to inform decision-making.

• Dive Deep: The expectation to thoroughly investigate customer behaviors, motivations, and pain points, going beyond surface-level observations.

• Invent and Simplify: Applying creativity to research methodologies and finding efficient ways to gather and communicate insights, especially in the complex domain of AI.

• Ownership: Taking responsibility for research projects from start to finish and ensuring their findings are understood and acted upon.

Collaboration Style:

• Cross-Functional Integration: Researchers are expected to be integral members of product teams, working closely with PMs, designers, and engineers.

• Data-Driven Communication: Findings are presented objectively, backed by evidence, to facilitate informed discussions and decisions.

• Constructive Feedback: A culture of providing and receiving feedback to continuously improve research quality and product outcomes.

• Knowledge Sharing: Actively participating in internal research communities and sharing best practices to elevate the broader UX discipline within AWS.

📝 Enhancement Note: The emphasis on Amazon's Leadership Principles and collaborative style is crucial for understanding how this role fits into the broader GTM and product development ecosystem.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of AI: Researching cutting-edge AI applications requires understanding complex technical concepts and translating them into user-friendly experiences.

• Ambiguity in Emerging Markets: Working with new AI-native business applications means navigating ambiguity and defining customer needs that may not yet be fully articulated.

• Balancing Tactical & Foundational Research: Juggling immediate usability needs with longer-term strategic research questions.

• Influencing Stakeholders: Effectively communicating research insights to gain buy-in and drive action across diverse teams and leadership levels.

Learning & Development Opportunities:

• Specialization in AI/ML Research: Gaining deep expertise in researching AI-powered business tools, a high-demand area.

• Exposure to Diverse Business Applications: Learning about various industries and operational challenges that AWS Applied AI Solutions address.

• Advanced Research Techniques: Opportunities to learn and apply state-of-the-art qualitative and quantitative research methods.

• Networking: Connecting with a vast network of researchers, product managers, and engineers across Amazon.

• Access to Amazon's Learning Resources: Leveraging internal training programs, workshops, and knowledge bases.

📝 Enhancement Note: These challenges and growth opportunities provide a realistic outlook for candidates, highlighting areas where they can develop and contribute significantly.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used research to significantly influence a product decision. What was the outcome?" (Focus on impact and your role).

• "How would you approach researching the needs of businesses looking to adopt AI for [specific operational task, e.g., customer service, sales forecasting]?" (Demonstrate strategic thinking and methodology).

• "Walk me through a challenging research project. What made it difficult, and how did you overcome those challenges?" (Showcase problem-solving and resilience).

Company & Culture Questions:

• "Why are you interested in researching AI applications specifically for business users?" (Connect your passion to the role's domain).

• "How do you embody Amazon's 'Customer Obsession' leadership principle in your research work?" (Provide specific examples).

Portfolio Presentation Strategy:

• Select a Strong Case Study: Choose a project that clearly demonstrates your end-to-end research process and, most importantly, its impact.

• Structure Clearly: Follow a narrative: Problem -> Your Role -> Research Questions -> Methodology -> Findings -> Recommendations -> Impact.

• Quantify Impact: Use data and metrics to show the results of your research.

• Be Prepared for Deep Dives: Anticipate questions about your methodology, data analysis, and how you handled any challenges or unexpected findings.

• Showcase Your Thinking: Explain why you made certain decisions throughout the research process, demonstrating your strategic thinking.

📝 Enhancement Note: This section provides targeted advice on how to prepare for interviews, focusing on demonstrating research impact and alignment with Amazon's culture and the specific domain of AI business applications.

📌 Application Steps

To apply for this UX Researcher position:

• Submit your application through the Amazon Jobs portal via the provided URL.

• Tailor your resume: Highlight your experience with end-to-end research, specific methodologies, and any experience with AI/ML or business applications. Ensure keywords like "User Research," "Study Design," "Analysis," and "Product Decisions" are prominent.

• Prepare your portfolio: Curate 2-3 strong case studies that showcase your research process and, critically, the impact of your work on product development and business outcomes. Ensure it's easily accessible and well-organized.

• Research Amazon's Applied AI Solutions: Familiarize yourself with the types of products and services AWS offers in this space to better understand the customer context and potential research areas.

• Practice your portfolio presentation: Rehearse presenting your chosen case study, focusing on clarity, conciseness, and demonstrating the business impact of your research.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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