AI UX Researcher

📍 Job Overview

Job Title: AI UX Researcher

Company: StoneX Group

Location: Kraków, Lesser Poland Voivodeship, Poland

Job Type: FULL_TIME

Category: User Experience / Product Research

Date Posted: 2026-08-08

Experience Level: Mid-Level (5-10 years)

Remote Status: Hybrid (4 days in-office)

🚀 Role Summary

• Conduct comprehensive user research studies, focusing on AI-driven product experiences and user behavior analysis.

• Translate complex user data and insights into actionable recommendations for product managers, designers, and engineers.

• Champion a user-centric design philosophy, ensuring that user needs and pain points are prioritized throughout the product development lifecycle.

• Collaborate with global, cross-functional teams to integrate research findings and drive continuous product improvement in an agile environment.

• Leverage a strong understanding of both qualitative and quantitative research methodologies, with a specific emphasis on AI applications in UX research.

📝 Enhancement Note: This role is specifically focused on AI UX Research, indicating a need for candidates who can not only perform traditional UX research but also understand and apply AI's impact on user experience. The hybrid model with 4 days in-office suggests a structured approach to team collaboration and in-person engagement.

📈 Primary Responsibilities

• Design and execute user research plans, including interviews, surveys, usability testing, and competitive analysis, with a focus on AI product features.

• Synthesize research data from various sources to identify key user behaviors, preferences, pain points, and unmet needs relevant to AI-powered solutions.

• Develop detailed user personas, customer journey maps, and empathy maps to represent target users and inform product strategy.

• Present research findings and strategic recommendations clearly and persuasively to diverse stakeholder groups, including product, design, engineering, and business leadership.

• Proactively identify research opportunities and integrate lean research methodologies into agile product development sprints and roadmaps.

• Act as a key advocate for user insights, influencing product decisions and fostering a strong user-centered design culture across the organization.

• Collaborate closely with UX/UI designers, product managers, and engineers to ensure research outcomes are effectively translated into tangible product enhancements.

• Maintain flexibility in scheduling and potentially travel to support global team collaboration and research initiatives.

📝 Enhancement Note: The responsibilities highlight a blend of research execution, strategic insight generation, and cross-functional collaboration. The emphasis on "AI UX Research" suggests that candidates will be expected to explore how AI technologies are perceived and utilized by users, and how to design intuitive interfaces for AI-driven features.

🎓 Skills & Qualifications

Education:

• Bachelor's or Master's degree in Human-Computer Interaction (HCI), Psychology, Design, Computer Science, or a closely related field. Experience:

• Minimum of 5 years of dedicated experience in User Experience (UX) research, with a strong preference for roles within product-focused or technology-driven organizations.

• Demonstrable experience working within agile product development methodologies and adapting research practices to fit tight deadlines and iterative roadmaps.

• Previous experience in the finance industry or with financial products is considered a significant advantage. Required Skills:

• Proven expertise in planning, designing, and executing a wide range of qualitative and quantitative user research methodologies (e.g., interviews, surveys, usability testing, card sorting, heuristic evaluations).

• Demonstrated ability to analyze and synthesize complex research data to generate actionable insights and strategic recommendations.

• Strong understanding and practical application of AI in the context of UX research, including user perception of AI, trust in AI systems, and effective AI interface design.

• Proficiency in creating user-centered design artifacts such as personas, journey maps, user flows, and empathy maps.

• Excellent verbal and written communication skills, with the ability to articulate complex research findings and recommendations to both technical and non-technical stakeholders.

• Strong analytical and problem-solving skills, with a keen eye for detail and the ability to connect user insights to business objectives.

• Familiarity with common UX design and research platforms, including but not limited to Figma, Axure, Dovetail, and various user research platforms. Preferred Skills:

• Experience working within a global company operating context, understanding diverse user bases and international market nuances.

• A deep passion for user-centered design principles and a strong drive to enhance overall user experience.

• Excellent interpersonal skills, fostering effective collaboration with cross-functional teams.

• Ability to work independently, manage multiple research projects concurrently, and prioritize tasks effectively.

• Highly organized with strong time management skills, capable of meeting project deadlines in a fast-paced environment.

📝 Enhancement Note: The qualifications emphasize practical experience and specific skills related to AI and the finance industry, while also valuing strong communication and problem-solving abilities. The mention of "lean research into agile product deadlines" indicates a need for efficiency and adaptability.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A curated collection of case studies demonstrating end-to-end UX research projects, highlighting your process from research planning to insight delivery.

• Specific examples of how your research has directly influenced product design decisions, feature development, or strategic direction.

• Evidence of your ability to apply various research methodologies, including those relevant to AI user interactions.

• Documentation of how you have translated research findings into concrete, actionable recommendations for product and design teams.

• Projects showcasing your proficiency in creating user-centered artifacts like personas, journey maps, and user flows. Process Documentation:

• Detailed descriptions of your research planning process, including how you define research objectives, select methodologies, and plan for recruitment.

• Examples of how you conduct data analysis and synthesis, illustrating your approach to uncovering meaningful insights from qualitative and quantitative data.

• Case studies that demonstrate your ability to integrate research findings into an agile development workflow, ensuring timely delivery of insights.

• Documentation of how you communicate and present research findings to various stakeholders, ensuring buy-in and actionability.

📝 Enhancement Note: Candidates should prepare a portfolio that not only showcases their research skills but also their ability to drive impact within a product development context. Highlighting experience with AI-specific research challenges and demonstrating clear ROI from research efforts will be crucial.

💵 Compensation & Benefits

Salary Range:

Based on industry benchmarks for Mid-Level UX Researchers in Poland with 5+ years of experience, particularly in technology or finance-related roles, the estimated annual gross salary range for this position in Kraków would be approximately 140,000 PLN to 220,000 PLN. This estimate accounts for the specialization in AI UX Research and the hybrid work arrangement.

Benefits:

• Competitive salary package.

• Comprehensive health insurance plan, covering medical, dental, and optical needs.

• Opportunities for professional development, including training, conferences, and certifications.

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

• Contribution to retirement savings plans.

• Access to company-provided tools and software for research and collaboration.

• Potential for performance-based bonuses.

• Flexible working arrangements within the hybrid model. Working Hours:

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

• Requires flexibility to accommodate global team collaboration, potentially involving early morning or late afternoon calls.

• The role is hybrid, with a requirement of 4 days per week in the Kraków office.

📝 Enhancement Note: The salary range is an estimation based on Polish market data for similar roles and experience levels, factoring in the specialized AI UX research focus and the hybrid work model. Detailed benefits will be provided by the hiring team.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services / Technology. StoneX Group operates as a Fortune 100, Nasdaq-listed provider connecting clients to global markets. This industry context implies a need for precision, security, and a deep understanding of user needs in complex financial environments.

Company Size: 5,400+ employees operating across six continents, indicating a large, globally distributed organization with established processes and a significant market presence. This size offers opportunities for broad impact and career advancement.

Founded: While the founding date is not explicitly stated, StoneX Group's Fortune 100 status and extensive global presence suggest a long-standing history and robust operational framework.

Team Structure:

• The UX Research team is likely part of a larger Product or Technology division, working closely with Product Management, UX/UI Design, and Engineering departments.

• Collaboration will extend across various global business segments, requiring effective communication with teams in different time zones and cultural contexts.

• The reporting structure will likely involve a UX Research Lead or Head of Product/Design, with direct interaction with Product Managers for specific projects. Methodology:

• Data-driven decision-making is paramount in financial services, so research will heavily rely on both qualitative and quantitative data to inform strategy.

• Agile methodologies are explicitly mentioned, indicating a fast-paced, iterative approach to product development and research integration.

• A strong emphasis on user-centered design, ensuring that user needs and feedback are integral to the product lifecycle.

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

📝 Enhancement Note: The company's global reach and Fortune 100 status suggest a professional, results-oriented culture. The emphasis on connecting clients to markets and providing world-class services implies a commitment to excellence and client satisfaction, which will translate into the expectations for UX research.

📈 Career & Growth Analysis

Operations Career Level: This is a Mid-Level UX Researcher role, suitable for professionals with 5-10 years of experience. It signifies a level of autonomy, the ability to manage complex research projects independently, and the capacity to mentor more junior team members. The role is expected to contribute significantly to product strategy and user understanding.

Reporting Structure: The AI UX Researcher will likely report to a Senior UX Researcher, UX Research Manager, or Head of Product/Design. They will work closely with Product Managers, UX/UI Designers, and Software Engineers, forming project-specific cross-functional teams.

Operations Impact: The impact of this role is directly tied to enhancing the user experience of StoneX's products, particularly those incorporating AI. By providing actionable insights, the researcher will help improve user adoption, satisfaction, and efficiency, ultimately contributing to client retention, market competitiveness, and revenue generation. The focus on AI UX research suggests a strategic role in shaping the future of how clients interact with StoneX's advanced technological offerings.

Growth Opportunities:

• Specialization: Deepen expertise in AI UX research, becoming a go-to subject matter expert within the company.

• Leadership: Progress to a Senior UX Researcher or Lead UX Researcher role, managing research initiatives and potentially a small team.

• Cross-functional Mobility: Transition into Product Management or UX Design roles, leveraging a strong understanding of user needs and product development.

• Industry Expertise: Develop specialized knowledge in financial services UX, making you a valuable asset in a high-stakes industry.

• Global Exposure: Gain experience working with diverse international user bases and teams, enhancing adaptability and global perspective.

📝 Enhancement Note: The mid-level designation implies a significant degree of responsibility and the opportunity to make a tangible impact. Growth paths are clearly defined, offering both specialization within UX research and broader career transitions within the company.

🌐 Work Environment

Office Type: The role is designated as Hybrid, requiring 4 days per week in the Kraków office. This suggests a collaborative office environment designed to foster teamwork, spontaneous ideation, and in-person mentorship. The remaining day offers flexibility for remote work.

Office Location(s): The office is located at Mogilska 35, Kraków, Poland. This location provides access to a vibrant city with a strong talent pool and good connectivity.

Workspace Context:

• Collaborative Spaces: The office likely features dedicated collaboration areas, meeting rooms equipped for presentations, and open-plan workspaces to encourage interaction among team members.

• Technology Integration: Expect access to modern office technology, including reliable internet, video conferencing tools, and potentially specialized hardware or software for UX research and design.

• Team Interaction: The hybrid model with 4 days in-office is designed to maximize face-to-face interaction with colleagues, facilitating knowledge sharing, problem-solving sessions, and team-building activities.

Work Schedule: The standard working hours are 40 per week, with the expectation of flexibility to accommodate global team needs. This means occasional early morning or late afternoon calls might be necessary to align with colleagues in different time zones. The 4-day in-office requirement provides a structured yet flexible work week.

📝 Enhancement Note: The hybrid arrangement with a significant in-office component indicates a company that values in-person collaboration and team cohesion, while still offering some degree of work-life balance. This setup is common for roles requiring close coordination with design and product teams.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with HR or a recruiter to assess basic qualifications, experience, and cultural fit.

• Hiring Manager Interview: An in-depth discussion with the hiring manager (likely a UX Research Lead or Head of Product/Design) focusing on your experience, research approach, and understanding of AI UX.

• Skills Assessment/Case Study: You may be asked to complete a take-home assignment or a live case study exercise. This will likely involve analyzing a research problem, proposing a research plan, or interpreting a dataset, with a focus on AI-related user challenges.

• Team Interviews: Meet with potential colleagues, including UX/UI Designers, Product Managers, and other Researchers. This stage assesses your collaboration style, communication skills, and how you integrate into the team.

• Final Interview: Potentially with a senior leader, to discuss strategic alignment, long-term vision, and finalize any remaining questions.

Portfolio Review Tips:

• Curate Strategically: Select 3-5 of your strongest projects that best demonstrate your AI UX research capabilities and impact.

• Tell a Story: For each project, clearly articulate the problem, your approach, the methodologies used, your key findings, and the tangible impact of your research on the product or business.

• Highlight AI Focus: If possible, include projects that specifically address AI-driven features, user trust in AI, or AI interaction design.

• Showcase Process: Detail your research process, from planning and execution to synthesis and recommendation.

• Quantify Impact: Use metrics and data whenever possible to demonstrate the success of your research and its contribution to product improvements or business goals.

• Be Prepared to Discuss: Be ready to walk through your portfolio, answer in-depth questions about your decisions, and discuss alternative approaches.

Challenge Preparation:

• Understand the Context: Familiarize yourself with StoneX Group's business, target audience, and the financial services industry.

• Practice AI UX Scenarios: Think through common challenges in researching AI-powered products (e.g., user understanding of AI, bias, trust, transparency).

• Methodology Fluency: Be ready to discuss the pros and cons of various qualitative and quantitative research methods and when to apply them, especially in an agile context.

• Communication Skills: Practice articulating your thoughts clearly and concisely, both verbally and in writing. Prepare to present your findings and recommendations persuasively.

• Problem-Solving: Approach any case study or challenge with a structured problem-solving framework, clearly outlining your assumptions and reasoning.

📝 Enhancement Note: The interview process emphasizes practical application and collaboration. Candidates should prepare a portfolio that clearly demonstrates their AI UX research skills and their ability to translate insights into actionable product improvements within an agile framework.

🛠 Tools & Technology Stack

Primary Tools:

• User Research Platforms: Experience with tools like Dovetail, UserTesting.com, Lookback, or similar platforms for conducting and analyzing user sessions and qualitative data.

• Survey Tools: Proficiency in platforms such as SurveyMonkey, Qualtrics, Google Forms, or Typeform for designing and distributing user surveys.

• Prototyping & Design Tools: Familiarity with Figma, Axure, Sketch, Adobe XD, or similar tools is beneficial for understanding design artifacts and collaborating with designers.

• Collaboration Tools: Experience with tools like Jira, Confluence, Slack, Microsoft Teams for project management, documentation, and team communication.

Analytics & Reporting:

• Data Analysis Software: While not explicitly mentioned, familiarity with basic statistical analysis or data visualization tools (e.g., Excel, Google Sheets, basic R/Python for data manipulation) would be advantageous for quantitative research.

• BI Tools: Awareness of business intelligence tools that might be used to track product performance post-launch (e.g., Tableau, Power BI) could be beneficial.

CRM & Automation:

• CRM Systems: Understanding of how CRM data (e.g., Salesforce) might inform user segmentation or provide context for user research, although direct CRM management is not expected.

• Automation Tools: Awareness of how automation might be used in research processes (e.g., survey distribution) or within the products being researched.

📝 Enhancement Note: The listed tools are common in UX research and product development. Proficiency in specific user research platforms and design tools like Figma is particularly important for this role, given the need to collaborate closely with design teams and present findings effectively.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A core value driving all product development and research efforts, ensuring that the user's needs and experience are at the forefront of every decision.

• Data-Driven Insights: A commitment to using rigorous research methodologies and data analysis to inform strategic decisions and product improvements.

• Collaboration & Communication: Fostering an environment where open communication, knowledge sharing, and cross-functional teamwork are encouraged to achieve shared goals.

• Innovation: Embracing new technologies, like AI, and exploring novel ways to enhance user experiences and deliver value to clients.

• Integrity & Professionalism: Upholding high ethical standards in research practices and maintaining a professional demeanor when interacting with stakeholders and users.

Collaboration Style:

• Cross-functional Integration: The role requires seamless collaboration with Product Managers, UX/UI Designers, Engineers, and potentially Marketing and Business stakeholders.

• Iterative Feedback Loops: Expect a culture where feedback is regularly exchanged, and research findings are iteratively incorporated into the product development cycle.

• Knowledge Sharing: Team members are encouraged to share their expertise, research findings, and best practices through presentations, documentation, and informal discussions.

• Agile Partnership: Working closely with agile teams means embracing flexibility, adapting to changing priorities, and contributing to a shared understanding of user needs and product direction.

📝 Enhancement Note: The company culture likely emphasizes a blend of rigorous analysis, collaborative teamwork, and a forward-thinking approach, particularly in the context of leveraging AI. Candidates should demonstrate an ability to thrive in a fast-paced, globally connected environment.

⚡ Challenges & Growth Opportunities

Challenges:

• Integrating AI Research: Navigating the unique challenges of researching AI-driven features, such as explaining complex AI concepts to users, understanding trust and bias, and designing for emergent behaviors.

• Global User Diversity: Conducting research across different cultural contexts and user demographics within StoneX's global client base, requiring sensitivity and adaptability in research methods.

• Balancing Research with Agile Timelines: Effectively embedding research into fast-paced agile sprints, ensuring timely delivery of actionable insights without compromising research rigor.

• Communicating Complex Findings: Translating sophisticated AI UX research insights into clear, concise, and actionable recommendations that resonate with diverse stakeholders, including those less familiar with research methodologies.

• Influencing Product Strategy: Advocating for user needs and research-backed decisions in a potentially complex organizational structure with multiple stakeholders and priorities.

Learning & Development Opportunities:

• AI UX Specialization: Opportunities to attend workshops, conferences, and training programs focused on the intersection of AI and User Experience.

• Financial Services Domain Knowledge: Deepen understanding of the financial services industry, its users, and the specific UX challenges within this sector.

• Advanced Research Methodologies: Exposure to and training in cutting-edge qualitative and quantitative research techniques, including advanced analytics.

• Cross-functional Skill Development: Opportunities to learn more about product management, UX design principles, and engineering processes through close collaboration.

• Mentorship: Access to experienced researchers and product leaders within StoneX Group for guidance and career development.

📝 Enhancement Note: The challenges are typical for a role at the forefront of AI innovation within a large financial institution. The growth opportunities are robust, offering clear paths for specialization and broader career development within the company.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to conduct research on a complex AI-driven feature. What were the biggest challenges, and how did you overcome them?" (Prepare to discuss methodologies for understanding user trust, transparency, and interaction with AI.)

• "How do you prioritize research requests when working within an agile product development cycle? Walk us through your process." (Focus on lean research techniques and stakeholder negotiation.)

• "Imagine you need to explain the findings of a user research study on AI bias to a non-technical executive. How would you present this information to ensure understanding and drive action?" (Emphasize clear communication, storytelling, and focusing on business impact.) Company & Culture Questions:

• "What interests you about StoneX Group, and how do you see your AI UX research skills contributing to our mission of connecting clients to markets?" (Research StoneX's recent AI initiatives or product launches if possible.)

• "How do you approach collaboration with product managers and designers who may have different priorities or perspectives on user needs?" (Highlight your ability to build consensus and advocate for the user.)

• "Describe your experience working with globally distributed teams. What strategies do you employ to ensure effective communication and research across different cultures and time zones?" (Be ready to discuss scheduling, communication tools, and cultural sensitivity.) Portfolio Presentation Strategy:

• Start with Impact: Begin each case study by stating the key problem and the measurable impact your research achieved.

• Show, Don't Just Tell: Use visuals (screenshots, diagrams, persona examples) to illustrate your process and findings.

• Focus on 'Why' and 'How': Clearly articulate why you chose specific research methods and how you executed them.

• Demonstrate AI Relevance: If applicable, highlight how your research specifically addressed the nuances of AI in user experience.

• Be Ready for Deep Dives: Anticipate detailed questions about your methodology, data analysis, and the rationale behind your recommendations. Practice explaining your thought process verbally.

📝 Enhancement Note: Interview preparation should focus on demonstrating practical experience with AI UX research, strong communication skills, and an understanding of how research drives business value within an agile, global financial services context.

📌 Application Steps

To apply for this AI UX Researcher position:

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

• Portfolio Customization: Tailor your resume and cover letter to highlight your 5+ years of UX research experience, specifically mentioning your AI UX research expertise and any finance industry exposure.

• Resume Optimization: Ensure your resume clearly lists your proficiency with UX research methodologies, relevant tools (Figma, Axure, Dovetail), and your experience in agile environments. Quantify your achievements whenever possible.

• Interview Preparation: Practice articulating your research process, insights, and impact, especially for AI-related projects. Prepare specific examples for behavioral questions and be ready to discuss your portfolio in detail.

• Company Research: Thoroughly research StoneX Group's business, mission, and recent developments. Understand their position in the financial services market and how AI might fit into their strategy.

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