Design Researcher

📍 Job Overview

Job Title: Design Researcher

Company: Visa

Location: Austin, Texas, United States (Hybrid) / Bellevue, Washington, United States (Hybrid)

Job Type: Full-time

Category: Product & Design / User Experience Research

Date Posted: April 17, 2026

Experience Level: Mid-Level

Remote Status: Hybrid

🚀 Role Summary

• Spearhead qualitative and quantitative research initiatives within the Visa Commercial Solutions team, focusing on complex B2B experiences.

• Leverage emerging AI tools and Large Language Models (LLMs) to enhance research framing, hypothesis generation, and early-stage prototyping.

• Translate complex user insights and behavioral data into actionable recommendations that shape product strategy, design decisions, and prioritization.

• Collaborate closely with cross-functional teams including Product Managers, Designers, Content Strategists, and Engineers to drive product innovation and improvement.

📝 Enhancement Note: This role is positioned within the Product & Design function, specifically focusing on User Experience Research. The emphasis on B2B experiences, AI tool integration, and hybrid work arrangement are key differentiators. The inclusion of AI/LLM capabilities suggests a forward-thinking research team that embraces technological advancements to accelerate the research lifecycle and enhance insight generation.

📈 Primary Responsibilities

• Plan, execute, and synthesize findings from a range of qualitative and quantitative research methods, including user interviews, surveys, contextual inquiries, diary studies, and usability testing.

• Utilize AI tools to assist in framing research questions, identifying edge cases, generating hypotheses, and rapidly prototyping early concepts to accelerate the ideation process.

• Partner with Product Management, Design, and Engineering teams to develop clear learning agendas, define decision points, and establish research priorities aligned with business objectives.

• Conduct research throughout the product development lifecycle, from early concept exploration and ideation through to refinement and validation, ensuring continuous integration of customer feedback.

• Synthesize research findings with product analytics, market intelligence, and customer feedback to identify overarching patterns, unmet needs, and strategic opportunity areas within complex B2B workflows.

• Leverage AI tools for efficient signal clustering, pattern identification, and rapid transformation of raw research inputs into clear, actionable insights.

• Deliver compelling and actionable insights through clear communication artifacts, influencing product roadmaps, design iterations, and strategic prioritization decisions.

• Translate research insights into tangible deliverables such as opportunity maps, experience principles, user journey maps, and early-stage concepts.

• Contribute to the development and maintenance of scalable systems for participant recruitment, insight sharing, and centralized knowledge management to foster a research-informed culture.

📝 Enhancement Note: The responsibilities highlight a blend of traditional UX research expertise with a strong emphasis on modern AI integration. The role requires not just executing research but also strategically framing it, synthesizing across diverse data sources, and translating findings into tangible product and business impact. The emphasis on B2B and complex workflows suggests a need for strong analytical and systems-thinking skills.

🎓 Skills & Qualifications

Education:

• Bachelor's Degree in Design, Human-Computer Interaction (HCI), Psychology, Anthropology, Sociology, Computer Science, or a related field, or equivalent practical experience.

Experience:

• Minimum of 2 years of professional experience in user experience research, design research, or a similar role, with a Bachelor's Degree.

• Preferred: 3-4+ years of relevant experience, especially with an Advanced Degree.

Required Skills:

• Research Fundamentals: Strong command of core UX research methodologies (qualitative and quantitative), with the ability to select appropriate methods for diverse research questions and objectives.

• AI Fluency & Curiosity: Hands-on experience utilizing AI tools (including LLMs) to support research activities such as framing problems, generating hypotheses, exploring edge cases, and rapid prototyping. A proactive attitude towards learning and adapting to evolving AI tools and workflows is essential.

• Systems Thinking: Proven ability to understand and map complex, multi-step B2B workflows, identifying interdependencies and connections within intricate systems.

• Data Fluency: Familiarity with leveraging behavioral data and product analytics to inform research questions and complement qualitative findings, enabling a holistic understanding of user behavior.

• Business Acumen: Ability to connect research insights directly to business outcomes, articulating the strategic value, growth potential, and revenue impact of research findings.

• Pragmatism & Agility: Demonstrated ability to manage multiple priorities, navigate ambiguity, and drive research forward effectively in a fast-paced environment.

• Clear Communication: Excellent verbal and written communication skills, with the ability to present insights compellingly and appropriately for various audiences.

• Collaboration: Proven ability to work effectively within cross-functional teams (Design, Product Management, Engineering, Content Strategy), embracing feedback and fostering a collaborative learning environment.

Preferred Skills:

• Experience with AI-assisted synthesis and pattern identification tools.

• Proficiency in statistical analysis software for quantitative research.

• Experience with participant recruitment platforms and knowledge management systems.

• Familiarity with Agile development methodologies.

📝 Enhancement Note: The qualification requirements emphasize a blend of foundational research skills and modern technological fluency, particularly with AI. The preference for experience in regulated industries like fintech and payments is crucial for understanding Visa's core business. The "AI fluency and curiosity" requirement suggests this is a key differentiator for candidates.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies: Showcase 3-5 detailed case studies demonstrating end-to-end research projects, from initial problem framing and research design to synthesis and impact articulation.

• Methodological Diversity: Evidence of applying a range of qualitative and quantitative research methods, with clear rationale for method selection based on research objectives.

• AI Integration Examples: Include specific examples or case studies where AI tools were leveraged to enhance the research process, synthesis, or insight generation.

• Impact & Actionability: Clearly articulate the impact of your research on product strategy, design decisions, or business outcomes, supported by measurable results where possible.

• Process Optimization: Highlight instances where your research led to significant improvements in user workflows, efficiency, or user satisfaction within complex systems.

Process Documentation:

• Research Planning: Demonstrate experience in developing comprehensive research plans, including defining clear objectives, target participants, methodologies, timelines, and success metrics.

• Synthesis & Insight Generation: Showcase your process for synthesizing diverse data inputs (qualitative interviews, quantitative data, analytics) into clear, compelling, and actionable insights.

• Insight Dissemination: Outline your strategies for effectively sharing research findings with cross-functional teams and stakeholders, using various formats (presentations, reports, workshops) to drive understanding and action.

• System Improvement: Provide examples of contributions to improving research operations, such as refining participant recruitment processes, enhancing insight repositories, or streamlining research workflows.

📝 Enhancement Note: Candidates are expected to provide a portfolio that not only demonstrates research expertise but also showcases their ability to integrate AI into their workflow and drive tangible business impact. The emphasis on B2B workflows and regulated environments suggests a need for structured, data-informed, and strategically aligned research outputs.

💵 Compensation & Benefits

Salary Range: The estimated annual salary range for this position in the U.S. is $110,700 to $190,900 USD. This range may vary based on factors such as job-related knowledge, skills, experience, and geographic location.

Additional Compensation:

• Potential for sales incentive payments (if applicable).

Benefits:

• Comprehensive Medical, Dental, and Vision insurance plans.

• Retirement savings plan (401(k)) with company contributions.

• Flexible Spending Accounts (FSA) or Health Savings Accounts (HSA) for healthcare expenses.

• Life Insurance coverage.

• Generous Paid Time Off (PTO) policy.

• Wellness Program initiatives.

Working Hours: The specific working hours will vary based on the department's needs. This role is expected to require approximately 40 hours per week.

📝 Enhancement Note: The provided salary range is competitive for a mid-level Design Researcher in a major tech/financial services company in the US. The inclusion of bonus and equity indicates a performance-driven compensation structure. The comprehensive benefits package is standard for large corporations like Visa.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Technology (Fintech) / Payments Technology

Company Size: Visa is a large, global corporation with thousands of employees worldwide, operating in over 200 countries and territories. This scale offers opportunities for significant impact and exposure to diverse markets.

Founded: Visa was founded in 1958, with a long history of innovation in the payments industry. This legacy provides a stable foundation while the company actively pursues future-forward initiatives, including the integration of AI.

Team Structure:

• The Design Researcher will be part of the Visa Commercial Solutions team, likely within a broader Product Design or User Experience organization.

• The team structure will involve close collaboration with Product Managers, Designers, Engineers, and Content Strategists, fostering a cross-functional and agile environment.

Methodology:

• Visa emphasizes a data-driven approach, integrating qualitative research insights with quantitative analytics and market intelligence to inform strategic decisions.

• The company is actively exploring and implementing AI tools to enhance efficiency and effectiveness across product development and research processes.

• A strong focus on user-centricity and delivering best-in-class payment solutions drives the methodology, with an emphasis on understanding and serving diverse global customer needs.

Company Website: https://usa.visa.com/

📝 Enhancement Note: Visa's position as a global leader in payments technology brings a unique context of scale, regulation, and innovation. The company's commitment to "uplifting everyone, everywhere" suggests a mission-driven culture, while the emphasis on AI integration points to a forward-looking and adaptive approach to product development and research.

📈 Career & Growth Analysis

Operations Career Level: This role is classified as a mid-level Design Researcher, indicating a need for independent execution of research projects and a growing ability to influence strategy. It sits within the "Product and Design" job family group.

Reporting Structure: The Design Researcher will report to a manager within the Visa Commercial Solutions team, likely a Design Research Lead or Manager. They will collaborate closely with peers in Product Management, Design, and Engineering, requiring strong communication and influence skills across these functions.

Operations Impact: The Design Researcher's impact is critical in shaping the user experience of Visa's B2B commercial solutions. By providing deep user understanding and actionable insights, they directly influence product strategy, feature prioritization, and the overall success of commercial offerings in a competitive market. Their work contributes to improving efficiency, driving adoption, and ultimately, impacting revenue and market share for Visa's commercial products.

Growth Opportunities:

• Skill Specialization: Deepen expertise in specific research methodologies, AI-driven research techniques, or B2B user research within the fintech domain.

• Strategic Influence: Progress to senior or lead researcher roles, taking ownership of larger research programs and contributing more significantly to product strategy and roadmap development.

• Leadership Development: Opportunities to mentor junior researchers, lead research initiatives, and potentially transition into research management roles.

• Cross-Functional Exposure: Gain broader experience by working on diverse product lines within Visa Commercial Solutions and collaborating with various business units.

• AI Research Innovation: Be at the forefront of applying AI in research, potentially leading initiatives to develop and implement novel AI-powered research tools and workflows.

📝 Enhancement Note: The role offers a clear path for growth within UX research, with opportunities to specialize, increase strategic impact, and potentially move into leadership. The emphasis on AI integration presents a unique avenue for professional development and innovation within the field.

🌐 Work Environment

Office Type: This is a hybrid position. While specific expectations for days in the office will be confirmed by the Hiring Manager, it implies a balance between remote work flexibility and in-person collaboration.

Office Location(s):

• Austin, Texas, United States

Workspace Context:

• The hybrid model allows for flexibility in work location, catering to individual preferences while ensuring regular in-person interaction for team collaboration and strategic alignment.

• The office environment is expected to be equipped with standard office technology and resources to support research activities, potentially including collaboration spaces and meeting rooms for user testing and team discussions.

• Opportunities for direct interaction with designers, product managers, engineers, and other researchers will be frequent, fostering a collaborative and knowledge-sharing atmosphere.

Work Schedule: The work schedule will vary based on departmental needs, but the standard expectation is approximately 40 hours per week. The hybrid arrangement offers some flexibility in managing daily work hours, balancing personal needs with project deadlines and team collaboration requirements.

📝 Enhancement Note: The hybrid nature of the role offers a blend of flexibility and in-person collaboration, common in modern tech environments. The specified locations in Austin and Bellevue are hubs for technology and business, suggesting a dynamic work environment.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and resumes, focusing on qualifications, relevant experience, and alignment with the role's requirements, particularly AI fluency and B2B research experience.

• Hiring Manager Interview: A conversation to assess your experience, research philosophy, problem-solving approach, and cultural fit. Expect questions about your experience with AI in research and handling complex B2B scenarios.

• Portfolio Presentation: A key stage where you will present selected case studies from your portfolio. This is an opportunity to showcase your research process, synthesis skills, communication abilities, and the impact of your work, with a specific focus on how you've used AI and addressed complex workflows.

• Cross-Functional Interview(s): Interviews with peers from Product Management, Design, and Engineering to evaluate your collaboration style, ability to influence, and understanding of cross-functional dynamics.

• Final Interview: Potentially with a senior leader or director to discuss strategic thinking, long-term career aspirations, and overall fit within Visa's culture and objectives.

Portfolio Review Tips:

• Curate Strategically: Select 3-5 projects that best showcase your end-to-end research capabilities, methodological breadth, and impact. Ensure at least one project highlights your experience with AI tools in research.

• Tell a Story: For each case study, clearly articulate the problem, your approach (including research design and methods), key findings, your role in synthesis, and most importantly, the impact and outcomes of your research on the product or business.

• Emphasize AI Integration: Be prepared to detail how you used AI tools, the benefits they provided (e.g., speed, depth, new insights), and any challenges or considerations encountered.

• Quantify Impact: Wherever possible, use data and metrics to demonstrate the tangible results of your research (e.g., improved conversion rates, reduced task completion time, increased user satisfaction scores).

• Tailor to B2B: Highlight projects that involved complex B2B workflows, demonstrating your understanding of enterprise user needs and business objectives.

• Be Concise and Clear: Present your portfolio in a well-organized and easy-to-understand manner, using visuals effectively.

Challenge Preparation:

• Anticipate Research Design Questions: Be ready to outline how you would approach a given research problem, including methodology, participant criteria, and key questions.

• Practice Synthesis: Prepare to walk through your synthesis process, explaining how you derive insights from raw data.

• Communicate Strategy: Be prepared to discuss how research findings inform product strategy and how you would communicate complex information to different stakeholders.

• AI Use Cases: Think about potential scenarios where AI could be applied to enhance the research process for Visa's commercial products.

📝 Enhancement Note: The interview process strongly emphasizes portfolio presentation and the ability to articulate research impact, especially concerning AI integration and complex B2B environments. Candidates should prepare to demonstrate strategic thinking and collaborative skills.

🛠 Tools & Technology Stack

Primary Tools:

• Research Platforms: Experience with tools for survey creation, participant recruitment, and remote usability testing (e.g., UserTesting.com, Qualtrics, SurveyMonkey, Lookback, Maze).

• AI & LLM Tools: Hands-on experience with AI assistants for research tasks, such as ChatGPT, Bard, Claude, or specialized AI research synthesis tools. Proficiency in prompt engineering and ethical AI usage is beneficial.

• Collaboration Suites: Familiarity with tools like Google Workspace (Docs, Sheets, Slides, Meet) or Microsoft 365 (Word, Excel, PowerPoint, Teams) for documentation, analysis, and communication.

Analytics & Reporting:

• Product Analytics Tools: Exposure to platforms like Google Analytics, Adobe Analytics, Mixpanel, or Amplitude for analyzing user behavior data.

• Data Visualization Tools: Basic proficiency in tools like Tableau, Power BI, or Looker for creating dashboards and reports to communicate quantitative findings.

CRM & Automation:

• CRM Systems: Understanding of how CRM data (e.g., Salesforce) can inform research questions and how research insights might impact CRM strategies, particularly in a B2B context.

• Project Management Tools: Experience with tools such as Jira, Asana, or Trello for managing research projects and timelines.

📝 Enhancement Note: The technology stack emphasizes research execution tools, strong analytical capabilities, and the critical integration of AI/LLM tools. Familiarity with B2B-focused analytics and CRM systems would be a significant advantage.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and advocating for the user, ensuring their needs and pain points are central to product development.

• Data-Driven Decision Making: Valuing insights derived from both qualitative research and quantitative data to inform strategic choices and measure success.

• Innovation & Adaptability: Embracing new technologies, such as AI, and continuously seeking innovative ways to improve research processes and product offerings.

• Collaboration & Transparency: Fostering an environment where cross-functional teams work together openly, share knowledge, and provide constructive feedback to achieve shared goals.

• Impact & Accountability: Focusing on delivering research that drives tangible business outcomes and taking ownership of research quality and its influence on product direction.

Collaboration Style:

• Cross-functional Integration: Actively partnering with Product Management, Design, Engineering, and Content Strategy to ensure research is embedded throughout the product lifecycle.

• Proactive Communication: Regularly sharing insights and updates, seeking input from stakeholders, and facilitating discussions to ensure alignment and buy-in.

• Knowledge Sharing: Contributing to internal knowledge bases and actively participating in discussions and workshops to disseminate research findings and best practices across teams.

• Iterative Feedback Loops: Embracing continuous feedback on research plans, findings, and recommendations to refine approaches and ensure relevance.

📝 Enhancement Note: Visa's culture likely emphasizes professionalism, innovation, and a global perspective, aligning with its mission. The research team likely values meticulousness, strategic thinking, and the ability to translate complex findings into actionable steps for product development.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Complex B2B Workflows: Understanding and researching intricate, multi-layered business processes requires deep analytical skills and the ability to abstract complex user journeys.

• Integrating AI Responsibly: Effectively leveraging AI tools while maintaining research rigor, ethical considerations, and addressing potential biases requires careful planning and execution.

• Translating Insights into Action: Ensuring that research findings are not just delivered but actively understood and acted upon by diverse cross-functional teams, particularly in a large organization.

• Balancing Speed and Depth: Thriving in a fast-paced environment while ensuring research is thorough enough to provide meaningful insights and strategic direction.

• Global User Diversity: Researching for a global product means understanding and accounting for diverse user behaviors, cultural nuances, and market specificities.

Learning & Development Opportunities:

• AI in Research Specialization: Opportunity to become a subject matter expert in applying AI and LLMs to UX research, potentially leading internal training or developing best practices.

• Fintech/Payments Domain Expertise: Gaining deep knowledge of the financial technology and payments industry, a valuable and in-demand specialization.

• Advanced Methodologies: Exposure to and training in advanced research techniques, including mixed-methods approaches and specialized B2B research strategies.

• Strategic Product Involvement: Opportunities to influence product strategy at a higher level, moving beyond tactical research execution to shape product roadmaps.

• Networking: Connecting with a vast network of professionals within Visa and the broader financial services industry.

📝 Enhancement Note: The challenges are typical for a mid-level researcher in a complex, innovative environment. The growth opportunities are significant, especially concerning AI integration and specialization within the lucrative fintech sector.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used AI tools to accelerate or improve a research project. What were the benefits and challenges?" (Focus on specific tools, your process, and quantifiable outcomes.)

• "Imagine you need to research a new feature for Visa's commercial payment portal. How would you approach this, considering both user needs and business objectives?" (Outline your research plan, including methods, key questions, and how you'd integrate AI.)

Company & Culture Questions:

• "What interests you about Visa and specifically the Commercial Solutions team?" (Research Visa's mission, its commercial products, and recent innovations in payments/fintech.)

• "How do you approach collaboration with Product Managers and Engineers? Describe a situation where you effectively influenced these stakeholders." (Highlight your communication and influencing skills.)

Portfolio Presentation Strategy:

• Structure is Key: For each case study, clearly define: The Problem/Opportunity, Your Role & Objectives, Methodology (including AI tools used), Key Findings, Recommendations/Impact, and Lessons Learned.

• Visuals Matter: Use screenshots, diagrams, user journey maps, and synthesized insights dashboards to make your presentation engaging and easy to follow.

• Focus on Impact: Quantify results whenever possible. If direct quantification is difficult, articulate the strategic impact or the decisions your research informed.

• AI Deep Dive: Be ready to elaborate on your AI tool usage – which tools, why you chose them, how they enhanced your work, and any ethical considerations.

• B2B Context: Frame your case studies within a business context, demonstrating an understanding of commercial needs and enterprise-level challenges.

📝 Enhancement Note: Interview preparation should focus on demonstrating practical application of research methods, strategic thinking, effective communication, and a clear understanding of how AI can be leveraged responsibly in a B2B fintech environment.

📌 Application Steps

To apply for this Design Researcher position:

• Submit your application through the provided link on the Visa careers portal.

• Tailor Your Resume: Highlight keywords from the job description such as "Design Researcher," "UX Research," "Qualitative/Quantitative Research," "AI Fluency," "B2B," "Systems Thinking," and specific methodologies. Emphasize achievements and quantifiable results.

• Prepare Your Portfolio: Curate 3-5 strong case studies that showcase your end-to-end research process, methodological diversity, AI integration experience, and demonstrable impact on product strategy and business outcomes, particularly within complex B2B environments.

• Research Visa: Understand Visa's mission, its commercial solutions, its commitment to innovation (especially AI), and its role in the global payments ecosystem.

• Practice Interview Responses: Prepare for behavioral and situational questions, focusing on your experience with research methodologies, AI tools, cross-functional collaboration, and problem-solving in complex B2B scenarios. Be ready to articulate your thought process and the impact of your work.

⚠️ 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.