Sr. UX Researcher, AFT - Experience Design

📍 Job Overview

Job Title: Sr. UX Researcher, AFT - Experience Design

Company: Amazon

Location: Austin, Texas, United States / Bellevue, Washington, United States

Job Type: Full-Time

Category: User Experience Research / Operations Technology

Date Posted: 2026-08-11T00:00:00

Experience Level: 5-10 years

Remote Status: On-site

🚀 Role Summary

• Lead end-to-end user research programs to enhance the user experience for Amazon's global fulfillment workforce, focusing on efficiency, engagement, safety, and well-being.

• Drive strategic research initiatives by partnering closely with Product Management, Design, and Engineering teams to ground decisions in operational realities and identify opportunities for innovation.

• Develop and maintain repeatable research infrastructure, including repositories, frameworks, and synthesis tools, to scale research efforts and compound impact over time.

• Conduct rigorous evaluative research across multiple studies to address complex, interconnected questions within Amazon's global fulfillment network, impacting associate and operator personas.

• Translate complex, multi-study data into compelling insight narratives that drive measurable action and influence leadership decisions across multiple organizational levels.

📝 Enhancement Note: This role is situated within Amazon's Fulfillment Technologies (AFT) Experience Design (XD) team, indicating a strong focus on the operational technology that underpins Amazon's vast logistics network. The emphasis on "physical and virtual worlds" and "operational reality" suggests a need for researchers who can bridge the gap between user needs and complex, real-world operational constraints within fulfillment centers. This is not a typical consumer UX role; it demands a deep understanding of operational environments and their impact on employee experience.

📈 Primary Responsibilities

• Design, plan, and execute comprehensive user research studies using a variety of methodologies, including lab-based user testing, remote testing, iterative prototype testing, and survey design, to uncover insights into the fulfillment workforce's needs and pain points.

• Proactively identify opportunities for research by framing high-ambiguity problems and translating them into actionable research plans that influence product and design strategies.

• Build and manage repeatable research infrastructure, such as knowledge repositories, standardized frameworks, and synthesis tools, to enhance research efficiency and consistency across the organization.

• Mentor and guide other researchers, designers, and team members on research methodologies, best practices, and effective data synthesis techniques to foster a culture of data-driven decision-making.

• Drive multi-study research programs that address interconnected questions across Amazon's global fulfillment network, operating with a deep understanding of associate and operator personas.

• Continuously evaluate and adopt new methods and tools to improve research rigor, speed, and scale, ensuring the team stays at the forefront of UX research practices.

• Distill complex, multi-study data into clear, concise insight narratives that drive measurable business and product outcomes, influencing decisions at L8 organizational levels and beyond.

• Enable force multiplication by creating scalable mechanisms, playbooks, and toolkits that empower other teams to conduct research or leverage insights without direct researcher involvement.

📝 Enhancement Note: The responsibilities highlight a strategic, leadership-oriented research role. The expectation to "operate as an independent voice," "build repeatable research infrastructure," and "enable force multiplication" suggests that this role requires not only strong research skills but also strong program management, strategic thinking, and leadership capabilities. The emphasis on influencing "multiple L8 organizations" points to the significant impact and visibility of this position.

🎓 Skills & Qualifications

Education:

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

• Master's degree in Human Factors, HCDE, Cognitive Psychology, or equivalent is preferred, indicating a strong preference for advanced academic training in user-centered research disciplines. Experience:

• Minimum of 5 years of experience leading end-to-end user research programs that have demonstrated significant business or product impact.

• Experience building complex software systems, or experience in machine learning, data mining, information retrieval, statistics, or natural language processing is a plus, suggesting a potential need to understand the technical underpinnings of the systems being researched.

• Experience conducting UX research in non-US markets is preferred, indicating the global scope of Amazon's fulfillment operations and the need for cultural adaptability in research.

• Experience building launch readiness frameworks, standard work, playbooks, and scalable deployment mechanisms across multiple concurrent sites is a significant advantage, demonstrating an ability to operationalize research findings at scale. Required Skills:

• Expertise in lab-based user testing, remote testing, iterative prototype testing, and survey design.

• Proficient in using multiple research methods within a single study to gain comprehensive insights.

• Demonstrated experience with all aspects of the research lifecycle: study design, participant recruiting, moderation, data analysis, and reporting.

• Proven ability to make data-driven business recommendations and effectively influence stakeholders at various levels.

• Solid understanding of quantitative data analysis and statistical principles.

• Experience building and analyzing cost/benefit scenarios and business cases, with a track record of communicating results effectively throughout an organization.

• Strategic leadership skills, with the ability to frame ambiguous problems and drive research direction.

• Strong understanding of product design principles and the ability to collaborate effectively with design and engineering teams. Preferred Skills:

• Experience in operational reality, understanding the constraints and workflows of physical environments like fulfillment centers.

• Familiarity with machine learning, data mining, information retrieval, statistics, or natural language processing.

• Experience developing strategies that influence leadership decisions at the organizational level.

• Ability to mentor researchers and other team members in research methodologies.

📝 Enhancement Note: The qualifications emphasize a blend of deep research expertise, strategic thinking, and operational understanding. The preference for advanced degrees and experience in global markets or scaling deployment mechanisms indicates a senior role with significant responsibility. The requirement to "build and analyze cost/benefit scenarios and business cases" is critical for demonstrating the ROI of research initiatives within a business context.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 3-5 distinct research projects that demonstrate end-to-end ownership, from problem framing to actionable recommendations.

• For each project, clearly articulate the business problem, research objectives, methodologies employed, key findings, and the resulting impact on product design or business outcomes.

• Include examples of how research insights were translated into concrete design changes or strategic business decisions, highlighting measurable improvements.

• Demonstrate proficiency in synthesizing complex qualitative and quantitative data into clear, compelling narratives that drive stakeholder alignment and action.

• Present examples of research infrastructure or frameworks developed, if applicable, to showcase scalability and process improvement contributions. Process Documentation:

• Prepare to discuss your personal process for planning and executing research studies, including participant recruitment strategies and ethical considerations.

• Be ready to explain your methods for data analysis and synthesis, including how you triangulate findings from multiple sources.

• Outline your approach to reporting research findings and communicating insights to diverse audiences, including technical and non-technical stakeholders.

• Demonstrate experience in establishing or improving research processes, such as creating research repositories, standardizing templates, or developing best practice guides.

📝 Enhancement Note: For a senior role at Amazon, the portfolio is paramount. It needs to go beyond just showcasing research projects; it must demonstrate strategic impact, leadership in process development, and the ability to influence at an organizational level. The emphasis is on the "business or product impact" of the research, meaning candidates must be able to quantify the value of their work.

💵 Compensation & Benefits

Salary Range:

• Austin, Texas, USA: $152,200 - $205,900 USD annually

• Bellevue, Washington, USA: $152,200 - $205,900 USD annually

📝 Enhancement Note: The provided salary ranges are specific to the listed US locations. For international locations, salary research would be required. These figures are competitive for a Senior UX Researcher role in major tech hubs like Austin and Bellevue, reflecting the experience level and the demanding nature of the role within a large organization like Amazon. The compensation structure at Amazon typically includes base salary, Restricted Stock Units (RSUs), and potential sign-on bonuses, offering a comprehensive total compensation package.

Benefits:

• Comprehensive Medical, Dental, and Vision Coverage

• Maternity and Parental Leave Options

• Paid Time Off (PTO)

• 401(k) Plan with matching contributions

• Life Insurance (Basic Life & AD&D, with option for Supplemental)

• Employee Assistance Program (EAP)

• Mental Health Support services

• Medical Advice Line for quick consultations

• Flexible Spending Accounts (FSAs) for healthcare and dependent care

• Adoption and Surrogacy Reimbursement coverage

• Restricted Stock Units (RSUs) as part of the total compensation package Working Hours:

• Typically 40 hours per week, standard business hours. Flexibility may be required based on project needs and global team collaboration.

📝 Enhancement Note: Amazon's benefits package is robust and comprehensive, covering health, financial well-being, family support, and long-term incentives through RSUs. The inclusion of adoption and surrogacy reimbursement highlights the company's commitment to supporting diverse family structures.

🎯 Team & Company Context

🏢 Company Culture

Industry: E-commerce, Cloud Computing, Artificial Intelligence, Logistics, Digital Streaming, and more. Amazon is a diversified technology giant.

Company Size: Over 1.5 million employees globally (as of early 2024), making it one of the largest employers worldwide. This massive scale implies a need for highly structured processes, robust infrastructure, and clear operational strategies.

Founded: 1994, by Jeff Bezos. Amazon has a history of innovation, customer obsession, and a data-driven approach to business.

Team Structure:

• The AFT-XD team is part of Amazon Fulfillment Technologies (AFT), which is responsible for the software, hardware, and data science solutions powering Amazon's global fulfillment network.

• The team likely consists of UX Researchers, UX Designers, Product Managers, and Engineers, working collaboratively to define and improve the technology and processes used by fulfillment center associates and operators.

• The reporting structure for a Senior UX Researcher might involve reporting to a UX Research Manager or a Director within the AFT-XD organization, with significant dotted-line reporting or collaboration with product and engineering leadership. Methodology:

• Data-Driven Decision Making: Amazon heavily relies on data and analytics to inform every aspect of its business, from product development to operational efficiency.

• Customer Obsession: The core leadership principle, extending to internal customers (fulfillment associates) as well as external consumers.

• Bias for Action: A culture that encourages quick decision-making and rapid iteration.

• Ownership: Employees are encouraged to take responsibility for their projects and drive them to completion.

• Dive Deep: The practice of thoroughly analyzing information and understanding underlying issues.

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

📝 Enhancement Note: Amazon's culture is characterized by its leadership principles, which guide decision-making and behavior. For operations roles, understanding these principles is crucial. The "Customer Obsession" principle applies to internal users (fulfillment associates) as well. The scale of Amazon's operations means that research insights must be highly scalable and impactful.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior-level UX Researcher role (5-10 years of experience). It implies a significant degree of autonomy, strategic contribution, and leadership within research initiatives. The role is expected to drive research programs independently, mentor others, and influence organizational strategy, rather than just executing assigned tasks.

Reporting Structure: The role will likely report to a UX Research Manager or a Director within the AFT-XD organization. However, the emphasis on "partnering equally with Product, Design, and Engineering" suggests a highly collaborative matrixed environment where influence and alignment across functional teams are key to success.

Operations Impact: The work of this role directly impacts the efficiency, safety, and overall experience of Amazon's global fulfillment workforce. By improving the user experience of the technologies and processes used, this researcher will contribute to optimizing operational throughput, reducing errors, enhancing associate satisfaction, and ultimately, supporting Amazon's ability to deliver on customer promises. The role is positioned to influence strategic decisions that shape the future of fulfillment operations.

Growth Opportunities:

• Specialization: Deepen expertise in specific areas of fulfillment technology, automation, or associate workflows.

• Leadership: Progress into a Principal UX Researcher role, managing larger and more complex research programs, or moving into management roles leading a team of researchers.

• Cross-Functional Mobility: Transition into Product Management or Design leadership roles within AFT or other Amazon organizations, leveraging deep user and operational understanding.

• Process Improvement: Lead initiatives to further scale and mature Amazon's UX research practices, especially within operational technology domains.

• Mentorship: Develop leadership skills by mentoring junior researchers and contributing to the broader UX community within Amazon.

📝 Enhancement Note: The growth path for a Senior UX Researcher at Amazon is significant, extending beyond pure research into leadership, strategy, and cross-functional opportunities. The emphasis on operational impact and influencing organizational strategy positions this role as a critical contributor to Amazon's core business.

🌐 Work Environment

Office Type: This role is designated as On-site, meaning the researcher will be expected to work from one of Amazon's designated office locations in Austin, Texas, or Bellevue, Washington.

Office Location(s):

• Austin, Texas, USA

• Bellevue, Washington, USA Workspace Context:

• Collaborative Environment: Researchers will work within modern office spaces designed to foster collaboration, likely with access to meeting rooms, whiteboarding facilities, and shared workspaces.

• Tools and Technology: Access to standard office technology, as well as specialized UX research tools, software, and potentially hardware used within fulfillment centers for testing purposes.

• Team Interaction: Opportunities for regular interaction with designers, product managers, engineers, and other researchers, both within the AFT-XD team and potentially across other fulfillment technology groups.

Work Schedule:

• The standard workweek is 40 hours. While the role is on-site, there might be some flexibility in daily start/end times, subject to team and project needs. Occasional travel to fulfillment centers for field research might be required.

📝 Enhancement Note: The on-site requirement suggests a need for close collaboration and immersion in the operational environment, potentially involving site visits to fulfillment centers. The office environment in Austin and Bellevue is likely to be state-of-the-art, reflecting Amazon's investment in its employee experience.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will review your application and resume, focusing on alignment with the basic and preferred qualifications, particularly the 5+ years of end-to-end research leadership experience and demonstrated business impact.

• Hiring Manager/Recruiter Screen: A brief call to discuss your background, interest in the role, and assess your fit for Amazon's culture and the specific team.

• Portfolio Review & Technical Interviews: This is a critical stage. You will likely present your portfolio to a panel of researchers, designers, and/or product managers. Expect deep dives into 2-3 of your most impactful projects. Questions will focus on your methodology, decision-making process, ability to handle ambiguity, and the quantifiable impact of your work.

• Behavioral Interviews: Using the STAR method (Situation, Task, Action, Result), you'll be asked about your experience with leadership principles, handling conflict, influencing stakeholders, mentoring others, and dealing with ambiguity.

• Final Round: May involve interviews with senior leadership to assess strategic thinking and overall fit.

Portfolio Review Tips:

• Focus on Impact: For each project, clearly articulate the business problem, your role, the research conducted, key insights, and most importantly, the measurable impact or outcome. Quantify results whenever possible (e.g., "reduced error rates by X%", "increased task completion time by Y%", "influenced decision leading to Z savings").

• Showcase Strategic Thinking: Highlight instances where you framed ambiguous problems, identified research opportunities, or influenced strategic direction.

• Demonstrate Methodological Breadth and Depth: Be prepared to discuss why you chose specific research methods and how you adapted them to the operational context.

• Tell a Story: Structure your portfolio presentations as compelling narratives that showcase your problem-solving skills and ability to drive change.

• Tailor to Amazon: Research Amazon's leadership principles and try to weave examples of how you embody them into your presentations. Understand Amazon's fulfillment operations context.

Challenge Preparation:

• Operational Problem-Solving: Be ready for hypothetical scenarios related to improving the experience of fulfillment associates or operators. Think about how you would approach understanding the problem, identifying key user groups, and designing research to gather insights.

• Data Synthesis: You might be presented with a dataset or qualitative findings and asked to synthesize them into actionable insights.

• Influence and Communication: Practice articulating complex research findings clearly and concisely, and prepare examples of how you've influenced stakeholders with data.

📝 Enhancement Note: The interview process at Amazon is rigorous and emphasizes demonstrated impact and alignment with leadership principles. A strong portfolio that clearly articulates business outcomes is essential. Candidates should prepare to discuss their research process in detail and provide concrete examples of how their work has driven change.

🛠 Tools & Technology Stack

Primary Tools:

• User Research Platforms: Tools like UserTesting.com, Lookback, Maze, or similar platforms for remote and moderated testing.

• Survey Tools: Qualtrics, SurveyMonkey, or internal Amazon tools for survey design and deployment.

• Prototyping Tools: Familiarity with tools like Figma, Sketch, Adobe XD, or InVision for reviewing and testing prototypes.

• Collaboration Tools: Amazon's internal suite of tools for communication and project management (e.g., Chime, WorkDocs, internal wikis).

Analytics & Reporting:

• Data Analysis Software: Proficiency in statistical software (e.g., R, SPSS) or data analysis tools (e.g., Excel, Tableau, Power BI) for quantitative data analysis.

• Qualitative Analysis Tools: Tools like Dovetail, NVivo, or similar for organizing and analyzing qualitative data.

• Reporting Dashboards: Experience creating clear, insightful reports and dashboards to communicate research findings to stakeholders.

CRM & Automation:

• While not a direct CRM or automation role, familiarity with how user data is managed within systems like CRMs or customer data platforms can be beneficial for understanding the broader ecosystem. Understanding the technology stack within fulfillment centers (e.g., warehouse management systems, robotics interfaces) is also advantageous.

📝 Enhancement Note: The role requires a strong command of a wide array of UX research tools and methodologies. While not directly managing CRMs or automation platforms, an understanding of how user data flows and impacts operations is a plus, especially for a role focused on operational technology.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: Applying this principle to the internal customer – the fulfillment associate. Ensuring their experience is optimized for efficiency, safety, and ease of use.

• Ownership: Taking full responsibility for research programs, from initiation to impact realization, and proactively identifying and addressing challenges.

• Invent and Simplify: Finding innovative research methods and solutions that simplify complex operational problems and deliver clear, actionable insights.

• Bias for Action: Moving quickly to gather necessary insights and provide recommendations, especially in a fast-paced operational environment.

• Dive Deep: Thoroughly understanding the nuances of fulfillment center operations, the technology used, and the human factors involved.

Collaboration Style:

• Cross-Functional Integration: Working closely and collaboratively with Product Managers, UX Designers, Software Engineers, and Operations stakeholders to ensure research is aligned with business goals and product roadmaps.

• Data-Driven Discourse: Engaging in constructive debate and decision-making based on research findings and data, rather than opinions.

• Knowledge Sharing: Actively sharing insights, best practices, and research findings across teams to foster a collective understanding and drive continuous improvement.

• Mentorship and Enablement: A culture of knowledge transfer, where senior members help uplift the skills of others and create mechanisms for broader team learning.

📝 Enhancement Note: Amazon's leadership principles are deeply embedded in its culture. For operations-focused roles, understanding how these principles translate to an internal user context is key. The emphasis on collaboration and data-driven decision-making is paramount for success.

⚡ Challenges & Growth Opportunities

Challenges:

• High Ambiguity: Dealing with complex, ill-defined problems within a large, multifaceted operational environment.

• Scale and Complexity: Conducting research that is relevant and impactful across Amazon's vast global fulfillment network, with diverse user groups and operational contexts.

• Balancing Rigor and Speed: Ensuring research quality and rigor while meeting the rapid pace of product development and operational changes.

• Influencing Diverse Stakeholders: Gaining buy-in and driving action from senior leaders and cross-functional teams who may have different priorities or perspectives.

• Bridging Physical and Digital: Researching experiences that span physical environments, equipment, and digital interfaces, requiring a holistic approach.

Learning & Development Opportunities:

• Deep Operational Insight: Gaining unparalleled understanding of global logistics and fulfillment operations.

• Advanced Research Techniques: Opportunities to explore and implement cutting-edge research methodologies for complex operational systems.

• Strategic Influence: Developing skills in influencing senior leadership and shaping organizational strategy.

• Mentorship and Leadership: Potential to grow into a leadership role, guiding other researchers and contributing to the strategic direction of UX research at Amazon.

• Cross-Functional Expertise: Expanding knowledge in areas like product management, engineering, and data science within an operational technology context.

📝 Enhancement Note: This role presents significant challenges due to its scope and complexity, but these also translate into substantial growth opportunities for ambitious researchers. The ability to navigate ambiguity and drive impact at scale is a key development area.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to frame a research problem that was highly ambiguous. How did you define the scope, and what was the outcome?" (Focus on your process for defining research questions and scope in the face of uncertainty.)

• "How do you ensure your research findings are actionable and drive measurable business impact, particularly in an operational context?" (Prepare specific examples of impact, ideally quantified.)

• "Imagine you need to research the usability of a new piece of equipment in a fulfillment center. What research methods would you employ, and why?" (Demonstrate your understanding of operational constraints and appropriate methodologies.)

• "How do you balance the need for research rigor with the demands of a fast-paced product development cycle?" (Highlight your ability to adapt methods and deliver timely, yet reliable, insights.) Company & Culture Questions:

• "How do Amazon's leadership principles, such as Customer Obsession or Bias for Action, align with your approach to user research, especially for internal customers?" (Connect your experience to Amazon's core values.)

• "Describe a situation where you had to influence a senior stakeholder who was resistant to your research findings. How did you approach it, and what was the result?" (Showcase your influencing and communication skills.)

• "How would you build research infrastructure (e.g., repositories, frameworks) to enable scalability and efficiency for a growing team?" (Discuss your experience in process development and operationalizing research.) Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly define: The Problem, Your Role, The Research Conducted, Key Findings, The Impact/Outcome, and Key Learnings.

• Quantify Impact: Whenever possible, use numbers to demonstrate the value of your research (e.g., percentage improvements, cost savings, efficiency gains).

• Showcase Strategic Contributions: Highlight instances where you identified new opportunities, influenced strategy, or solved complex, high-ambiguity problems.

• Be Ready for Deep Dives: Anticipate detailed questions about your methodology, decision-making process, and how you handled challenges within each project.

• Practice Your Delivery: Ensure your presentation is clear, concise, engaging, and within the allotted time.

📝 Enhancement Note: Interview preparation should focus on demonstrating strategic thinking, measurable impact, and alignment with Amazon's leadership principles. The portfolio presentation is a critical component where candidates must effectively communicate the value and outcomes of their research work.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Amazon Jobs portal, ensuring your resume clearly highlights your 5+ years of end-to-end user research leadership experience and demonstrable business impact.

• Tailor your Resume: Emphasize keywords relevant to UX research, operational technology, quantitative analysis, stakeholder influence, and strategic leadership. Quantify achievements whenever possible.

• Prepare Your Portfolio: Curate 2-3 of your most impactful research projects that showcase your ability to handle ambiguity, drive significant business outcomes, and influence decisions. Ensure clear articulation of problems, methodologies, insights, and measurable results.

• Research Amazon's Leadership Principles: Familiarize yourself with each principle and prepare specific examples from your experience that demonstrate how you embody them, particularly in the context of internal users or operational environments.

• Practice Interview Questions: Rehearse answers to common behavioral questions (using the STAR method) and strategy-based questions, focusing on demonstrating your research process, problem-solving skills, and ability to drive impact. Practice your portfolio presentation to ensure clarity, conciseness, and impact.

⚠️ 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.