Senior UX Researcher, Amazon Global Logistics

📍 Job Overview

Job Title: Senior UX Researcher, Amazon Global Logistics

Company: Amazon

Location: Beijing, China; Shenzhen, China; Shanghai, China

Job Type: Full-time

Category: User Experience Research (UXR) / Product Research

Date Posted: August 07, 2026

Experience Level: 5-10 years

Remote Status: On-site

🚀 Role Summary

• Lead end-to-end user research initiatives within Amazon's complex Global Logistics (GLX) division, driving product innovation and strategic decision-making.

• Apply a deep understanding of diverse methodologies, including generative and evaluative research, to uncover insights from sellers, operators, and customers across 200+ countries.

• Champion user-centricity by translating research findings into actionable recommendations that influence product strategy and improve user experiences for millions of global users.

• Scale the research practice by developing tools and guidance for self-service research, empowering broader UX and product teams to center their work on customer needs.

• Collaborate closely with UX Designers, Product Managers, SDMs, and TPMs to build integrated, scalable solutions that enhance seller shipping tools, internal operations platforms, and transportation networks.

📝 Enhancement Note: While the core job title is "Senior UX Researcher," the description strongly implies a focus on operations and logistics systems, making it highly relevant for professionals interested in the intersection of user experience and operational efficiency within a large-scale supply chain context. The role demands a blend of deep research expertise and strategic thinking to influence complex, data-rich interfaces.

📈 Primary Responsibilities

• Design, plan, and execute comprehensive user research studies across generative (e.g., ethnography, field research) and evaluative (e.g., usability testing, concept testing) phases.

• Moderate research sessions, ensuring high-quality data collection through qualitative and quantitative methods, including behavioral data and attitudinal insights.

• Analyze research data, synthesizing findings into compelling insights and strategic recommendations that directly inform product roadmaps and business strategies for global logistics.

• Partner with cross-functional teams, including UX Designers, Product Managers, Software Development Managers (SDMs), and Technical Program Managers (TPMs), to integrate user insights into product development lifecycles.

• Develop and disseminate best practices for user research, creating tools and self-service models to scale research capabilities and ensure a consistent, customer-centric approach across the organization.

• Contribute to the continuous improvement of research methodologies and operational efficiency within the Global Logistics Experience (GLX) team.

• Act as a thought leader in user research, educating stakeholders on the value and application of research findings to drive product innovation and business impact.

📝 Enhancement Note: The responsibilities emphasize a proactive and leadership-oriented approach to user research, extending beyond execution to include scaling research practices and influencing strategic direction. This aligns with typical expectations for a senior-level role within a large, matrixed organization like Amazon, particularly in operations-focused domains where data-driven decision-making is paramount.

🎓 Skills & Qualifications

Education:

• Master's degree or Ph.D. in Human Factors, Human-Computer Interaction (HCDE), Cognitive Psychology, Experimental Psychology, or a related field.

• Alternatively, a Bachelor's degree with equivalent extensive practical experience in user research. Experience:

• Minimum of 5 years of proven success in leading and executing user research projects with demonstrable impact on product development and business outcomes.

• 5+ years of hands-on experience with a wide array of research methodologies, including but not limited to:

  • Field Research and Ethnography
  • Lab-based User Testing
  • Remote Usability Testing
  • Paper Prototype Testing
  • Iterative Prototype Testing
  • Concept Testing
  • Survey Design and Deployment

• Comprehensive experience across all aspects of the research lifecycle: study design, participant recruitment, moderation, data analysis, and reporting.

• Proven experience with behavioral data collection and quantitative data analysis, including statistics.

• Experience working within Agile software development environments and understanding how user research integrates seamlessly into such frameworks.

• Deep expertise in both qualitative and quantitative research methods, with a specialization in one or more key areas. Required Skills:

• Advanced proficiency in designing and conducting end-to-end user research studies.

• Strong analytical skills for synthesizing complex qualitative and quantitative data into actionable insights.

• Excellent communication and presentation skills, capable of articulating research findings and strategic recommendations to diverse stakeholders, including senior leadership.

• Demonstrated ability to make autonomous decisions on research methodologies and approaches.

• Experience in developing and scaling research practices, including creating self-service tools and guidance.

• Familiarity with Agile software development methodologies and their application in a research context.

• Ability to work effectively in a fast-paced, dynamic, and collaborative environment.

• A robust portfolio showcasing past work, including study plans, research reports, personas, and demonstrated impact. Preferred Skills:

• Experience conducting research within the retail or e-commerce sectors, particularly in a global context.

• Familiarity with logistics, supply chain management, or transportation technology systems.

• Experience with statistical analysis software (e.g., SPSS, R, Python libraries).

• Experience with A/B testing and experimentation design.

📝 Enhancement Note: The "Basic Qualifications" are substantial, indicating a need for seasoned researchers. The emphasis on a portfolio demonstrating "past work experience and deliverables (e.g., study plans, reports, personas)" is critical for operations roles where tangible evidence of process improvement and problem-solving is valued. The preference for global retail/e-commerce or logistics experience directly aligns with the role's domain.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio is mandatory, showcasing a minimum of 5 years of impactful user research projects.

• The portfolio must demonstrate expertise in study design, participant recruitment, moderation, analysis, and reporting across a variety of methodologies.

• Include specific examples of research deliverables such as detailed study plans, in-depth analysis reports, user personas, journey maps, and usability findings.

• Highlight case studies that clearly articulate the problem, the research approach, key insights, and the resulting strategic recommendations and their impact on product development or business objectives.

• For this role, prioritize examples that demonstrate research within complex systems, data-rich interfaces, or operational environments, ideally related to logistics, e-commerce, or supply chain. Process Documentation:

• Demonstrate experience in documenting research processes, including methodology selection rationale, recruitment criteria, and data collection protocols.

• Provide examples of how research insights were translated into actionable design or product requirements documentation.

• Showcase instances where research findings led to measurable improvements in user efficiency, task completion rates, or satisfaction within a system or workflow.

• Evidence of developing and implementing scalable research processes, such as creating templates for study plans or standardized reporting formats, is highly valued.

📝 Enhancement Note: For operations-focused UX roles, the portfolio should not just show research outputs but also the researcher's ability to influence process and systems. This includes demonstrating how research has led to tangible improvements in operational efficiency, user task success within complex systems, and ultimately, business outcomes within a logistics or supply chain context.

💵 Compensation & Benefits

Salary Range:

• Based on industry benchmarks for Senior UX Researchers in major Chinese cities (Shanghai, Beijing, Shenzhen) with 5-10 years of experience, and considering Amazon's compensation structure, a competitive annual salary range is estimated between ¥450,000 - ¥750,000 CNY.

• This estimate accounts for the role's seniority, specialized skills in user research for complex systems, and the strategic impact on Amazon's Global Logistics operations. Salary will be commensurate with experience, qualifications, and performance. Benefits:

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

• Generous paid time off (PTO), including vacation days, sick leave, and public holidays.

• Retirement savings plan (e.g., company matching contributions).

• Employee stock options or restricted stock units (RSUs).

• Professional development opportunities, including training, conferences, and access to learning resources.

• Relocation assistance may be available for candidates moving to China.

• Employee discounts on Amazon products and services.

• Access to Amazon's extensive internal tools and resources. Working Hours:

• Standard full-time work schedule, typically 40 hours per week.

• May require flexibility to accommodate global team collaboration across different time zones and occasional work outside standard hours to complete time-sensitive research or analysis.

📝 Enhancement Note: Salary is an estimate based on publicly available data for senior UX roles in tier-1 Chinese cities and Amazon's typical compensation structure for experienced professionals in tech. Actual compensation will be determined by Amazon's internal compensation bands, candidate experience, and specific role requirements. Benefits are standard for large tech companies.

🎯 Team & Company Context

🏢 Company Culture

Industry: E-commerce, Logistics, Technology, Cloud Computing, Digital Streaming, Artificial Intelligence. Amazon operates across a vast spectrum of industries, with Global Logistics being a critical backbone for its retail operations.

Company Size: Amazon is a multinational technology company, employing over 1.5 million people worldwide as of recent reports. This signifies a highly structured environment with extensive resources and opportunities for specialized roles.

Founded: July 5, 1994. Amazon's long history has cultivated a culture of innovation, customer obsession, and a relentless drive for operational excellence.

Team Structure:

• The Global Logistics Experience (GLX) team is a centralized UX group within Amazon Global Logistics.

• It includes product designers, system designers, and content strategists.

• The team operates as a core partner to product managers, Software Development Managers (SDMs), and Technical Program Managers (TPMs) across various logistics and transportation technology systems.

• This structure fosters close collaboration and ensures UX considerations are integrated early and throughout the product development lifecycle. Methodology:

• Data-Driven Decision Making: Amazon heavily relies on data analytics and metrics to inform strategic decisions, product development, and operational improvements.

• Customer Obsession: The core leadership principle is to start with the customer and work backward, ensuring all initiatives are driven by customer needs and pain points.

• Operational Excellence: A continuous focus on efficiency, scalability, and process optimization is embedded in the company's DNA, particularly within logistics.

• Innovation & Experimentation: Amazon encourages experimentation and a willingness to invent and iterate, fostering a culture where new ideas are explored.

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

📝 Enhancement Note: Amazon's culture is defined by its Leadership Principles. Understanding and aligning with these principles (e.g., Customer Obsession, Ownership, Bias for Action, Dive Deep, Invent and Simplify) is crucial for success. For this role, "Dive Deep" into logistics complexities and "Invent and Simplify" user experiences for global sellers and operators will be key.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior UX Researcher role, indicating a mid-to-senior level position. It requires a high degree of autonomy, strategic thinking, and the ability to lead complex research initiatives. The role is positioned to significantly influence product strategy and operational processes within a critical business unit.

Reporting Structure: The Senior UX Researcher will likely report to a UX Manager or Lead within the Global Logistics Experience (GLX) team. They will work closely with Product Management and Engineering leadership, forming a core product team.

Operations Impact: The research conducted will directly impact the efficiency, usability, and adoption of tools and platforms used by millions of sellers and internal operators worldwide. Insights will shape how global trade is conducted on Amazon, influencing selection, customer reach, and overall business growth. This role provides a unique opportunity to drive substantial operational improvements and business outcomes through user-centered design and research.

Growth Opportunities:

• Specialization: Deepen expertise in UX research for complex operational systems, global e-commerce, or supply chain logistics.

• Leadership: Transition into a UX Lead or Manager role, overseeing research strategy and mentoring junior researchers.

• Cross-functional Mobility: Move into Product Management, Program Management, or other strategic roles within Amazon's vast network of businesses.

• Global Exposure: Gain extensive experience working with diverse user groups and markets across more than 200 countries.

• Skill Development: Continuous learning opportunities through internal training, external conferences, and hands-on experience with cutting-edge technologies and methodologies.

📝 Enhancement Note: Amazon offers structured career paths and significant opportunities for internal mobility. For a Senior UX Researcher in a critical area like Global Logistics, the potential for impact and subsequent career advancement is substantial, especially for those who can demonstrate strong analytical skills and a knack for operational problem-solving.

🌐 Work Environment

Office Type: This role is based on-site in one of Amazon's major offices in China (Shanghai, Beijing, or Shenzhen). Amazon offices are typically modern, well-equipped corporate environments designed to foster collaboration and productivity.

Office Location(s):

• Beijing, China

• Shanghai, China

• Shenzhen, China

Candidates will be hired for one of these specific locations.

Workspace Context:

• Collaborative Environment: The workspace will be designed to encourage collaboration, with open areas, meeting rooms, and potentially dedicated team spaces.

• Tools & Technology: Access to Amazon's proprietary tools, robust IT infrastructure, and standard office technology. This includes high-performance computing for data analysis and advanced UX research software.

• Team Interaction: Frequent interaction with UX Designers, Product Managers, Engineers, and other stakeholders, both within the GLX team and across broader logistics organizations. This fosters a dynamic exchange of ideas and a shared focus on problem-solving.

Work Schedule:

• Standard business hours, typically Monday to Friday.

• While the role is on-site, Amazon generally supports a balanced work environment. However, given the global nature of logistics and project deadlines, occasional flexibility may be required.

📝 Enhancement Note: Being on-site at Amazon's China offices means being part of a large, global tech hub. The environment is usually fast-paced, data-driven, and focused on delivering results. Collaboration is key, and proximity to team members often facilitates quicker iteration and decision-making.

📄 Application & Portfolio Review Process

Interview Process:

Amazon's interview process is rigorous and typically involves multiple stages, focusing on behavioral questions aligned with their Leadership Principles and technical/functional assessments.

1. Recruiter Screen: Initial call to assess basic qualifications, interest, and cultural fit.

2. Hiring Manager Interview: Deeper dive into experience, research methodology, and strategic thinking. This often includes discussing your portfolio.

3. Panel Interviews (3-5 interviews): Candidates will meet with various stakeholders (UX Designers, Product Managers, Engineers, fellow Researchers). Each interview will focus on specific Leadership Principles and functional skills.

• Portfolio Review: Expect dedicated time within one or more interviews to present and discuss your portfolio. Be prepared to walk through 2-3 key projects, detailing your role, methodology, insights, and impact.
• Behavioral Questions: Prepare STAR method (Situation, Task, Action, Result) responses for questions related to leadership principles like Customer Obsession, Dive Deep, Ownership, Bias for Action, Invent and Simplify, etc.
• Technical/Functional Questions: Expect questions on research design, data analysis, specific methodologies, and how you'd approach research challenges in a logistics context.

1. Bar Raiser Interview: A final interview conducted by an experienced Amazonian from outside the hiring team, focused on ensuring the candidate meets Amazon's high bar for talent.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 projects that best showcase your expertise in end-to-end research, diverse methodologies, and impact, especially those relevant to complex systems or operational challenges.

• Structure Your Narrative: For each project, clearly articulate:

  • The Business/User Problem
  • Your Role and Responsibilities
  • The Research Questions
  • Methodology Chosen (and why)
  • Key Findings/Insights
  • Strategic Recommendations
  • Impact/Outcome (quantify where possible – e.g., improved conversion, reduced errors, increased efficiency)

• Focus on Operations Context: Given the role, highlight any experience with logistics, supply chain, e-commerce operations, or complex data-driven platforms. Demonstrate how your research improved operational efficiency or seller/operator experience.

• Prepare for Questions: Anticipate questions about your decision-making process, how you handled challenges, and how your insights influenced stakeholders.

Challenge Preparation:

• Case Study/Hypothetical: Be prepared for a hypothetical research challenge related to Amazon's Global Logistics. You might be asked to outline a research plan to address a specific problem. Focus on defining clear research questions, selecting appropriate methods, and outlining how you'd analyze and report findings.

• Leadership Principles: Thoroughly understand Amazon's 16 Leadership Principles and prepare specific examples from your career that demonstrate each. These are heavily weighted.

• Logistics Domain Research: Familiarize yourself with Amazon's Global Logistics business, its challenges, and the types of users involved (sellers, operators, customers).

📝 Enhancement Note: Amazon's interview process is known for its rigor and emphasis on Leadership Principles. For a Senior UX Researcher role in operations, demonstrating the ability to "Dive Deep" into complex systems and processes, and to "Invent and Simplify" user experiences that drive efficiency, will be critical. The portfolio review is a key component, so thorough preparation is essential.

🛠 Tools & Technology Stack

Primary Tools:

• Research Platforms: Tools for remote usability testing, survey creation, and participant management (e.g., UserTesting.com, Qualtrics, SurveyMonkey, UserZoom).

• Data Analysis Software: Statistical software (e.g., SPSS, R, Python with libraries like Pandas, NumPy, SciPy) for quantitative analysis; qualitative analysis tools (e.g., Dovetail, NVivo) for thematic analysis.

• Prototyping & Design Tools: Familiarity with tools used by designers (e.g., Figma, Sketch, Adobe XD) to understand and test prototypes.

• Collaboration Tools: Amazon's internal suite of collaboration tools, including Chime (communication), Quip/Confluence (documentation), and internal project management systems.

Analytics & Reporting:

• Business Intelligence Tools: Experience with BI platforms is beneficial for understanding behavioral data and metrics (e.g., Tableau, Power BI, or Amazon's internal equivalents like AWS QuickSight).

• Data Warehousing Concepts: Understanding of how data is stored and accessed within large organizations (e.g., SQL for data querying).

• Reporting Dashboards: Ability to create clear, concise reports and dashboards that visualize research findings and their impact.

CRM & Automation:

• While not a primary focus for a UXR, familiarity with CRM systems (e.g., Salesforce) and marketing automation platforms can provide context for seller-facing tools and customer journeys.

• Understanding of how data flows through different systems is advantageous for research in integrated logistics platforms.

📝 Enhancement Note: Amazon utilizes a vast and often proprietary technology stack. While specific tools may not be listed, the expectation is proficiency in industry-standard research and analysis tools, coupled with the ability to quickly learn and adapt to internal Amazon systems. For this role, understanding how user data integrates with logistics and operational systems is key.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: A relentless focus on understanding and meeting the needs of global sellers, operators, and end customers. Research insights must directly address user pain points and opportunities.

• Ownership: Taking full responsibility for research projects from inception to impact, proactively identifying issues and driving solutions.

• Dive Deep: Thoroughly investigating complex logistics processes, data, and user behaviors to uncover root causes and nuanced insights.

• Invent and Simplify: Developing innovative research methods and simplifying complex user experiences within the logistics domain.

• Bias for Action: Making timely decisions based on available data, even with incomplete information, and iterating quickly.

• Deliver Results: Focusing on measurable outcomes and ensuring research contributions lead to tangible improvements in products, processes, and business performance.

Collaboration Style:

• Cross-functional Integration: The GLX team thrives on close collaboration with Product Management, Engineering, and TPMs. Researchers are expected to be active participants in product development discussions.

• Data-Informed Dialogue: Discussions are typically data-driven, with research findings serving as a critical input to strategic planning and design decisions.

• Feedback Culture: An environment where constructive feedback is regularly exchanged to improve both individual work and team processes. Knowledge sharing is encouraged through team meetings, brown bags, and documentation.

📝 Enhancement Note: Amazon's Leadership Principles are not just values; they are actionable guidelines that shape daily work and decision-making. For a Senior UX Researcher in operations, demonstrating how you embody these principles in your research practice and collaboration will be paramount to cultural fit.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of Global Logistics: Navigating the intricate web of international shipping regulations, customs, diverse carrier networks, and multi-modal transportation presents significant research challenges. Understanding and simplifying these complexities for users is key.

• Data Scale and Richness: Working with vast amounts of operational and user data requires sophisticated analytical skills to extract meaningful insights without getting lost in the data.

• Balancing User Needs with Business/Operational Constraints: Effectively translating user needs into feasible solutions that align with Amazon's operational efficiency goals and technical capabilities.

• Scaling Research Practice: Developing effective self-service research models and tools that empower non-researchers while maintaining research quality and ethical standards.

• Global User Diversity: Researching and designing for a wide range of users across different cultures, languages, and technical proficiencies.

Learning & Development Opportunities:

• Deep Dive into Logistics: Gain unparalleled expertise in global supply chain management, transportation technology, and cross-border e-commerce operations.

• Advanced Research Skills: Hone expertise in specialized research methods, quantitative analysis, and causal inference within large-scale systems.

• Leadership and Strategy: Develop strategic thinking and leadership skills through high-impact projects and interaction with senior leadership.

• Mentorship: Opportunities to mentor junior researchers and contribute to the growth of the UX practice within Amazon.

• Industry Exposure: Attend industry conferences and workshops related to UX, logistics, and e-commerce.

📝 Enhancement Note: The challenges in this role are significant but also represent immense opportunities for professional growth. Successfully navigating them will position the candidate as a highly valuable and experienced operations-focused UX professional.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to conduct research in a complex, data-rich environment. How did you approach it, and what were the key challenges?" (Focus on "Dive Deep" and methodology).

• "How would you approach researching the needs of a small seller trying to expand their business internationally for the first time on Amazon?" (Focus on "Customer Obsession" and generative research).

• "Imagine we're seeing low adoption of a new feature in our seller shipping tool. How would you diagnose the problem and identify solutions through research?" (Focus on "Bias for Action," "Deliver Results," and evaluative research).

• "How do you balance the need for rigorous research with tight project deadlines in an Agile environment?" (Focus on "Bias for Action" and efficient methodologies). Company & Culture Questions:

• "How does the principle of 'Customer Obsession' guide your approach to user research?" (Prepare an example).

• "Tell me about a time you had to 'Invent and Simplify' a process or solution." (Relate to research scaling or methodology).

• "Describe a situation where you took 'Ownership' of a challenging research project." (Highlight accountability and initiative).

• "How do you ensure your research insights are effectively communicated and acted upon by product and engineering teams?" (Focus on stakeholder management and influence). Portfolio Presentation Strategy:

• Quantify Impact: For each project, emphasize the measurable outcomes. Did your research lead to increased efficiency, reduced errors, higher conversion rates, or improved user satisfaction? Use numbers and data whenever possible.

• Showcase Problem-Solving: Clearly articulate the complex problems you tackled and how your research provided the solutions. For this role, highlight any experience with operational workflows, logistics challenges, or complex system design.

• Demonstrate Methodology Mastery: Be ready to defend your methodological choices. Why did you choose a particular method? What were the trade-offs? How did you mitigate potential biases?

• Tailor to Logistics: If possible, frame your examples in a way that highlights transferable skills to the logistics domain – e.g., research on complex workflows, user segmentation based on operational roles, understanding of data-driven decision-making.

📝 Enhancement Note: Amazon interviews are designed to assess not just technical skills but also cultural alignment with their Leadership Principles. For this specific role, demonstrating an understanding of operational challenges and a passion for simplifying complex systems through user research will be highly advantageous.

📌 Application Steps

To apply for this Senior UX Researcher position:

• Submit your application through the Amazon Jobs portal using the provided link.

• Tailor Your Resume: Emphasize your experience in end-to-end user research, diverse methodologies, quantitative and qualitative analysis, and any work related to operations, logistics, e-commerce, or complex systems. Highlight achievements using metrics where possible.

• Prepare Your Portfolio: Ensure your portfolio is polished, easily accessible (e.g., PDF or online link), and clearly showcases 2-3 impactful projects. Focus on projects that demonstrate your ability to conduct research in complex environments and drive measurable business results.

• Practice STAR Method: Prepare detailed, specific examples for common behavioral questions based on Amazon's Leadership Principles. Focus on situations where you demonstrated Ownership, Dive Deep, Bias for Action, Invent and Simplify, and Customer Obsession.

• Research Amazon Global Logistics: Familiarize yourself with Amazon's logistics operations, common challenges in cross-border shipping, and the types of users (sellers, operators) involved. Understand Amazon's commitment to customer obsession and operational efficiency.

⚠️ 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.