Senior UX Research Manager

📍 Job Overview

Job Title: Senior UX Research Manager

Company: Super Technologies

Location: United Kingdom

Job Type: Full-time

Category: User Experience Research / Product Research

Date Posted: 2026-06-10

Experience Level: 10+ years

Remote Status: On-site

🚀 Role Summary

• Lead and scale a high-impact UX research function, driving product strategy through deep user understanding.

• Manage and mentor a team of 6-8 UX researchers, fostering a culture of craft, rigour, and psychological safety.

• Spearhead the integration of AI tools and AI-native methods to transform research operations and accelerate insight generation.

• Act as a trusted advisor to executive leadership, translating complex user insights into actionable recommendations that influence major product and business decisions.

📝 Enhancement Note: This role is positioned at a senior management level, requiring not only hands-on research expertise but also significant experience in team leadership, strategic planning, and operationalizing research functions. The emphasis on AI integration suggests a forward-thinking organization seeking to leverage cutting-edge technologies for enhanced research efficiency and effectiveness.

📈 Primary Responsibilities

• Define and execute a multi-year UX research strategy aligned with Super Technologies' product and business objectives across sports betting, gaming, and payments.

• Translate ambiguous business challenges into well-defined research programs that yield confident executive decisions on market expansion, feature prioritization, and user experience optimization.

• Develop and maintain a comprehensive research roadmap balancing generative discovery, evaluative testing, and longitudinal tracking at scale.

• Represent research findings at executive and C-suite levels, presenting insights that directly influence resource allocation, product pivots, and go-to-market strategies.

• Directly manage, mentor, and grow a team of 6-8 UX researchers (including junior managers), fostering their development in qualitative, quantitative, and mixed-methods disciplines.

• Maintain a hands-on presence in research activities, including conducting studies, reviewing methodologies, and actively participating in research sessions.

• Cultivate a team culture focused on methodological rigour, high-quality output, and efficient delivery of research insights.

• Lead the transformation of research workflows through the identification, piloting, and embedding of AI tools for participant recruitment, transcription, synthesis, and insight generation.

• Champion AI-assisted analysis techniques, such as LLM-powered thematic coding and sentiment analysis, to reduce time-to-insight without compromising research integrity.

• Establish responsible AI usage guidelines for research, ensuring critical and transparent application of synthetic data, simulated users, and AI-generated summaries.

• Partner with Data Science and Analytics teams to build continuous research intelligence pipelines for near real-time user signal detection.

• Act as a strategic partner to VPs of Product and Design, embedding user evidence into strategic decision-making processes.

• Design and deliver executive-level research artefacts that are concise, opinionated, and actionable, facilitating rapid decision-making.

• Embed research touchpoints into planning and OKR cycles across Product, Engineering, Marketing, and Commercial teams to foster evidence-based decision-making.

• Proactively identify and address situations where decisions are being made without sufficient user research, intervening diplomatically with appropriate methodologies.

• Build and manage the research operations infrastructure, including panel management, vendor relationships, consent frameworks, data governance, and the tooling stack (e.g., Dovetail, UserZoom, Lookback, Maze).

• Establish and maintain a centralized research repository to ensure discoverability and reusability of insights across product teams.

• Develop and implement research democratization programs, training Product Managers and Designers in self-serve research methods while safeguarding methodological integrity.

• Define and enforce quality standards and peer-review practices to elevate the output of the entire research team.

📝 Enhancement Note: The responsibilities highlight a dual focus: strategic leadership of the research function and hands-on management of a growing team. The significant emphasis on AI integration and research operations indicates a need for a candidate who can not only conduct research but also build and optimize the systems and processes that support it at scale. The expectation to influence executive decisions underscores the strategic importance of this role.

🎓 Skills & Qualifications

Education: A postgraduate degree in HCI, Psychology, Cognitive Science, Sociology, or a related human behaviour field is preferred.

Experience: 10+ years of UX research experience in high-growth product environments, with a minimum of 5 years in a people management role, directly overseeing a team of at least 6-8 researchers.

Required Skills:

• Strategic UX Research Leadership: Proven ability to define, own, and execute a multi-year UX research strategy aligned with business goals.

• Team Management & Mentorship: Demonstrated experience managing large research teams, including junior managers, fostering development, performance, and a positive team culture.

• Hands-on Research Proficiency: Mastery of the full research methods toolkit, including ethnographic research, diary studies, usability testing, concept testing, conjoint analysis, surveys, and behavioral analytics. Must be comfortable conducting research personally.

• Qualitative and Quantitative Expertise: Proven track record in designing and leading both qualitative and quantitative research studies.

• AI Tooling Implementation: Hands-on experience in identifying, piloting, and embedding AI tools within research workflows for participant recruitment, auto-transcription, synthesis, and insight generation.

• Executive Stakeholder Management: Experience presenting research findings to C-suite and board-level stakeholders, influencing major product or business decisions.

• Research Operations Management: Experience building and owning research operations infrastructure, including panel management, vendor relationships, data governance, and tooling stacks.

• Product Strategy Contribution: Ability to translate user insights into actionable recommendations that shape product strategy and prioritization.

• Communication & Storytelling: Skill in distilling complex research findings into concise, opinionated, and actionable artefacts for executive consumption.

• Systems Thinking: Ability to view research as an interconnected evidence system that continuously informs strategy.

• Commercial Acumen: Understanding of how user insights connect to business outcomes like revenue, retention, conversion, and lifetime value.

Preferred Skills:

• Experience in betting, gaming, fintech, or other high-velocity consumer product environments.

• Fluency in data analysis tools such as SQL basics, Tableau, Amplitude, or Mixpanel for triangulating attitudinal and behavioral data.

• Experience building research practices from scratch or through significant transformation phases.

• Experience with internationalization research across multiple markets and cultures.

📝 Enhancement Note: The requirements emphasize a blend of deep research craft, substantial people leadership, strategic vision, and practical experience with emerging technologies like AI. The "hands-on by default" requirement is critical, indicating that candidates must be current practitioners, not just managers. Commercial literacy is also a key differentiator, linking research impact directly to business metrics.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Strategic Impact Case Studies: Showcase projects where your research directly influenced product strategy, feature prioritization, or market expansion, clearly articulating the business problem and the resulting decisions.

• Team Management & Growth Examples: Provide evidence of how you've managed, mentored, and scaled research teams, including examples of career development frameworks implemented or team structure adaptations.

• AI Integration Initiatives: Detail specific instances where you identified, piloted, or implemented AI tools within research workflows, demonstrating impact on efficiency, speed, or insight quality.

• Research Operations Infrastructure: Present examples of how you've built or optimized research operations, including panel management, tooling stacks (e.g., Dovetail, UserZoom, Lookback, Maze), and data governance.

• Executive Communication Artifacts: Include examples of executive briefs, decision-accelerating reports, or presentations that effectively distilled complex research into actionable insights for C-suite audiences.

Process Documentation:

• Workflow Design and Optimization: Demonstrate experience in mapping, analyzing, and optimizing research workflows, from planning and recruitment to analysis and dissemination.

• AI-Enhanced Methodologies: Document how you've integrated AI into research processes, such as using LLMs for thematic coding, sentiment analysis, or generative AI for participant screening.

• Research Repository Implementation: Provide examples of how you've established or contributed to a shared research repository, ensuring insights are accessible and reusable across teams.

• Democratization Program Design: Outline your approach to training non-researchers (e.g., PMs, Designers) in research methods while maintaining methodological integrity.

📝 Enhancement Note: For this senior role, the portfolio should not only showcase individual research projects but also demonstrate the candidate's ability to build and scale a research function. The emphasis on AI and operational infrastructure is paramount, requiring tangible examples of process improvement and technological integration. Executive-level communication and strategic influence must be clearly evidenced.

💵 Compensation & Benefits

Salary Range: Given the senior management level, extensive experience requirements (10+ years), and location in the United Kingdom, a competitive salary range is expected. Based on industry benchmarks for Senior UX Research Managers in major UK tech hubs, this role could range from approximately £90,000 to £130,000+ per annum, depending on specific location, candidate experience, and negotiation.

Benefits:

• Medical / Health Insurance: Comprehensive health coverage for employees.

• Open Annual Leave: Flexible approach to paid time off, emphasizing results over strict adherence to fixed days.

• Employee Assistance Programme (EAP): Confidential support services for personal and professional well-being.

• Training & Learning Development: Opportunities for professional growth, skill enhancement, and continuous learning, potentially including conferences, courses, and certifications.

• Additional country-specific benefits will be provided during the hiring process.

Working Hours: While the standard is likely 40 hours per week, the "Open Annual Leave" policy suggests a focus on output and flexibility, characteristic of high-performing tech environments. Operations and research activities may require some flexibility to accommodate global teams or critical project deadlines.

📝 Enhancement Note: The salary estimate is based on research of similar senior-level UX Research Manager roles in the UK tech sector, considering the company's likely focus on high-growth, competitive industries (gaming, betting, fintech). The benefits listed are standard for larger tech organizations, with the "Open Annual Leave" being a notable perk indicating a results-oriented culture.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically focused on sports betting, gaming, and fan experiences. This industry is characterized by rapid innovation, high user engagement, and a strong emphasis on data-driven decision-making and operational efficiency.

Company Size: Super Technologies is a large organization with over 5,000 employees, operating globally with numerous offices. This scale implies a complex organizational structure, established processes, and significant resources, but also a need for clear communication and alignment across diverse teams.

Founded: The founding date is not specified, but the company's evolution from sports and betting into broader technology-driven entertainment suggests a history of adaptation and growth within the digital landscape.

Team Structure:

• The UX Research team is substantial, comprising 6-8 researchers and potentially junior managers, reporting to a Research Director. This indicates a dedicated and well-resourced research function.

• The role requires close collaboration with VPs of Product and Design, as well as Product Managers, Engineers, Marketing, and Commercial teams, highlighting a cross-functional and matrixed organizational approach.

• The Research Manager will also partner with Data Science and Analytics teams, emphasizing a data-informed and integrated approach to understanding user behavior. Methodology:

• The company embraces a "high-performing team" ethos, driven by a "Culture Manifesto" and a focus on "doing what is right." This suggests a culture that values integrity, responsibility, and strategic alignment.

• A strong emphasis is placed on evidence-based decision-making, with research expected to be embedded in planning and OKR cycles.

• The integration of AI into research workflows signifies a commitment to innovation and leveraging technology for efficiency and enhanced insights.

Company Website: super.xyz/careers

📝 Enhancement Note: The company operates in a dynamic, fast-paced industry and emphasizes a high-performance culture. The size and global reach suggest a need for strong operational processes and clear communication. The focus on evidence-based decision-making and AI integration points to a data-rich environment where research plays a critical strategic role.

📈 Career & Growth Analysis

Operations Career Level: This role is at a senior management level within the UX Research discipline. It signifies a transition from individual contribution or lead researcher roles to managing a significant team and owning a strategic function. The scope includes direct people management, strategic planning, operational leadership, and significant executive influence.

Reporting Structure: The Senior UX Research Manager reports to the Research Director. This implies a clear hierarchy within the research function, with opportunities for upward influence and development within the broader research organization.

Operations Impact: The role has a direct and significant impact on product strategy and business decisions. By providing critical user insights to executive leadership and embedding research into planning cycles, the manager influences the direction of product development, market expansion, and ultimately, customer experience and business outcomes (revenue, retention, conversion).

Growth Opportunities:

• Leadership Advancement: Potential to grow into a Director or VP level role within UX Research or a broader Product organization, leading larger teams and broader strategic initiatives.

• Strategic Influence Expansion: Deepen influence across product verticals and business units, becoming a key strategic partner for executive leadership.

• Operational Excellence: Develop expertise in building and scaling research operations and infrastructure, potentially leading to roles focused on research operations leadership or product operations.

• AI & Future of Research: Become a thought leader in integrating AI and emerging technologies into research practices, potentially leading innovation in this space.

• Cross-functional Leadership: Opportunity to develop broader business acumen and potentially move into product management or strategy roles by leveraging deep user understanding and business context.

📝 Enhancement Note: This role is a significant step up, offering opportunities for strategic leadership, operational scaling, and deep influence. The growth path is strongly geared towards senior leadership within research, operations, or product, with a unique opportunity to pioneer AI in research.

🌐 Work Environment

Office Type: The role is designated as "On-site" with the location being the United Kingdom. This suggests a traditional office-based environment, likely with collaborative workspaces designed to foster team interaction and productivity.

Office Location(s): Specific office locations within the UK are not detailed, but Super Technologies has a network of offices across the country. Candidates should expect to work from a designated Super Technologies office.

Workspace Context:

• Collaborative Environment: As an on-site role in a large tech company, expect a dynamic workspace that encourages collaboration with UX researchers, designers, product managers, and engineers.

• Tools & Technology: Access to a comprehensive suite of research tools and technologies will be provided, including those mentioned such as Dovetail, UserZoom, Lookback, Maze, and potentially others for data analysis and AI integration.

• Team Interaction: Frequent opportunities for direct interaction with the research team, product stakeholders, and potentially cross-functional teams through meetings, workshops, and informal discussions.

Work Schedule: While likely based on a standard 40-hour work week, the "Open Annual Leave" policy implies a focus on work-life balance and results over strict timekeeping. However, the demands of a senior leadership role in a fast-paced industry may require flexibility to manage critical projects and global team coordination.

📝 Enhancement Note: The on-site requirement indicates a preference for in-person collaboration and team cohesion. The company's global presence and industry context suggest a fast-paced, innovation-driven environment where effective teamwork and communication are crucial.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your CV and application, focusing on experience in senior UX research management, team leadership, and AI integration.

• Hiring Manager Interview: A discussion with the Research Director or a senior leader to assess strategic thinking, leadership style, and alignment with the role's core responsibilities. Preparation should focus on your approach to strategy, team development, and operational scaling.

• Team & Stakeholder Interviews: Meetings with potential direct reports, peers (e.g., Product Managers, Design Leads), and executive stakeholders (e.g., VP Product, VP Design) to evaluate collaboration skills, communication style, and influence. Be prepared to discuss your experience working with diverse teams and driving consensus.

• Practical Assessment / Case Study: A potential exercise to present a research strategy, a complex research plan, or a portfolio walkthrough focusing on a significant strategic impact. This might involve presenting a case study on how you've led a team to solve a complex product challenge or integrated AI into research.

• Final Interview: Typically with a more senior executive (e.g., Head of Product, CPO) to discuss overall fit, strategic vision, and long-term impact.

Portfolio Review Tips:

• Strategic Storytelling: Structure your portfolio around strategic challenges and how your research leadership and team's work provided solutions. Highlight the "why," "how," and "so what" of your projects.

• Quantify Impact: Wherever possible, quantify the impact of your research on product decisions, user experience improvements, and business outcomes (e.g., increased conversion rates, reduced churn, revenue growth).

• Demonstrate Leadership: Showcase examples of how you've mentored researchers, built team capabilities, managed performance, and scaled research operations.

• AI Integration Emphasis: Clearly articulate your experience and vision for integrating AI into research workflows, providing concrete examples of tools used and outcomes achieved.

• Executive Communication: Include examples of how you've presented complex findings to senior leadership and influenced strategic direction. Focus on clarity, conciseness, and actionability.

Challenge Preparation:

• Research Strategy Development: Be prepared to outline how you would develop a multi-year UX research strategy for a company like Super Technologies, considering their product verticals and business goals.

• Team Scaling & Management: Practice articulating your approach to hiring, developing, and managing a large, diverse research team, including strategies for fostering psychological safety and high output.

• AI in Research Vision: Prepare to discuss your perspective on the future of AI in UX research, the opportunities and risks, and how you would strategically implement AI tools within a large organization.

• Stakeholder Management Scenarios: Consider how you would navigate situations where research findings conflict with stakeholder opinions or business priorities.

📝 Enhancement Note: The interview process emphasizes strategic thinking, leadership capability, and practical application of research and AI. A strong portfolio that clearly demonstrates impact, leadership, and AI integration will be crucial for success. Candidates should prepare to discuss their vision for scaling research and influencing executive decisions.

🛠 Tools & Technology Stack

Primary Tools:

• Research Platforms: Dovetail (for research repository & analysis), UserZoom, Lookback, Maze (for usability testing, surveys, remote research). Experience with other similar platforms is valuable.

• AI & Automation Tools: Proficiency or demonstrated experience in identifying, piloting, and embedding AI tools for tasks such as participant recruitment, auto-transcription, thematic coding (e.g., using LLMs), sentiment analysis, and accelerated insight generation.

• Collaboration Tools: Google Workspace/Microsoft Office Suite, Slack, Jira, Confluence for team communication, project management, and documentation.

Analytics & Reporting:

• Behavioral Analytics: Amplitude, Mixpanel, or similar tools for understanding user behavior patterns and product usage.

• Data Visualization: Tableau or similar for creating dashboards and reports to communicate findings effectively.

• SQL: Basic SQL proficiency is a plus for triangulating attitudinal and behavioral data.

CRM & Automation:

• While not the primary focus, familiarity with how research insights feed into CRM strategies or influence marketing automation through customer understanding is beneficial.

📝 Enhancement Note: The explicit mention of Dovetail, UserZoom, Lookback, and Maze indicates a strong preference for candidates familiar with these specific tools. The emphasis on AI tools for research operations is a key requirement, suggesting a need for candidates who are proactive in exploring and implementing new technologies to enhance research efficiency and effectiveness.

👥 Team Culture & Values

Operations Values:

• Integrity & Responsibility: Operating ethically and responsibly in all aspects of research, especially concerning user data and AI implementation. This aligns with Super's commitment to responsible entertainment.

• Data-Driven Decision-Making: A core belief in leveraging user evidence to inform product and business strategies, influencing how decisions are made across departments.

• Efficiency & Speed: A drive to deliver high-quality insights quickly and efficiently, particularly through the strategic use of AI and optimized research operations.

• Collaboration & Inclusivity: Fostering a collaborative environment where diverse perspectives are valued, and knowledge is shared freely among the research team and with cross-functional partners.

• Continuous Improvement: A commitment to constantly refining research methodologies, processes, and team capabilities to elevate the quality and impact of research output.

Collaboration Style:

• Cross-Functional Integration: Proactive engagement with Product, Design, Engineering, Marketing, and Commercial teams to ensure research is integrated early and often into planning and development cycles.

• Evidence-Based Advocacy: Championing the user's voice and research findings in discussions and decision-making processes, using data to persuade and align stakeholders.

• Knowledge Sharing: Establishing mechanisms for sharing research insights and best practices across the organization, potentially through a research repository, regular syncs, or internal workshops.

• Mentorship & Development: A culture of mutual support and professional growth within the research team, where senior members mentor junior colleagues and knowledge exchange is encouraged.

📝 Enhancement Note: The company culture appears to be a blend of high-performance, data-driven strategy, and ethical responsibility. For operations professionals, this translates to a need for strong analytical skills, a proactive approach to process improvement, and the ability to collaborate effectively across diverse functional teams to drive business outcomes.

⚡ Challenges & Growth Opportunities

Challenges:

• Scaling Research Operations: Managing and scaling a large, high-performing research team and its supporting infrastructure in a rapidly growing, high-velocity environment.

• AI Integration & Change Management: Successfully integrating AI tools and new methodologies into existing research workflows, managing potential resistance and ensuring ethical, responsible adoption.

• Balancing Strategic vs. Tactical Research: Ensuring the team dedicates sufficient time to both long-term strategic discovery and immediate tactical evaluative research needs.

• Influencing Executive Decisions: Consistently translating complex user insights into compelling narratives that drive significant strategic shifts and resource allocation at the highest levels.

• Maintaining Research Rigour with Speed: Upholding high methodological standards while meeting the fast-paced demands of the gaming and betting industries.

Learning & Development Opportunities:

• Advanced AI in Research: Opportunities to become a pioneer in applying cutting-edge AI techniques to UX research, potentially leading to industry recognition.

• Strategic Leadership Development: Formal and informal training on executive communication, strategic planning, and organizational leadership within a large tech group.

• Cross-Industry Expertise: Gaining deep insights into the sports betting, gaming, and fintech sectors, broadening business acumen and market understanding.

• Building High-Performing Teams: Developing advanced skills in talent management, fostering psychological safety, and optimizing team performance in a demanding environment.

• Research Operations Mastery: Deepening expertise in building and managing scalable research infrastructure, tools, and processes.

📝 Enhancement Note: This role presents significant challenges related to scaling, technological adoption, and strategic influence, but these are directly tied to substantial growth opportunities in leadership, AI innovation, and industry expertise.

💡 Interview Preparation

Strategy Questions:

• "Describe your approach to developing and communicating a multi-year UX research strategy that aligns with ambitious business goals in a dynamic industry like gaming." (Focus on strategic planning, stakeholder alignment, and long-term vision.)

• "How would you foster a culture of psychological safety and high-output within a research team of 6-8 individuals, especially when integrating new AI tools?" (Highlight leadership style, team dynamics, and change management.)

• "Walk me through a time you translated complex user insights into a concise, actionable recommendation that significantly influenced executive-level product or business strategy." (Prepare a STAR method example demonstrating executive influence and communication skills.) Company & Culture Questions:

• "How do you see AI transforming the future of UX research, and what are the key considerations for responsible implementation in a company like Super Technologies?" (Showcase your forward-thinking perspective on AI and ethical research practices.)

• "Super Technologies operates in the gaming and betting space. What unique research challenges and opportunities do you anticipate in this industry, and how would your team address them?" (Demonstrate industry awareness and strategic research planning.)

• "How do you ensure research is embedded into planning and OKR cycles across Product, Engineering, and Marketing teams to drive evidence-based decision-making?" (Focus on process integration and cross-functional collaboration.) Portfolio Presentation Strategy:

• Executive Summary First: Begin with a high-level overview of the challenge, your strategic approach, and the ultimate business impact of your work.

• Focus on Leadership & Impact: For each case study, emphasize your role as a leader, the strategic decisions influenced, and the quantifiable outcomes achieved by your team.

• Showcase AI Integration: Clearly articulate how AI tools were used to enhance research efficiency, speed, or insight quality, presenting specific examples and results.

• Demonstrate Operational Thinking: Explain how you built or scaled research operations, managed vendor relationships, or implemented research repositories.

• Concise and Actionable: Present findings and recommendations in a clear, data-supported, and actionable manner, mirroring the style expected for executive communication.

📝 Enhancement Note: Interview preparation should focus on demonstrating strategic leadership, hands-on research expertise, a deep understanding of AI's potential in research, and the ability to influence at the executive level. Candidates should prepare specific examples that highlight their impact and leadership capabilities.

📌 Application Steps

To apply for this Senior UX Research Manager position:

• Submit your application through the provided link on Greenhouse.

• Tailor Your Resume: Highlight your 10+ years of UX research experience, specifically your 5+ years in people management, and any experience with AI tooling implementation, research operations, and executive stakeholder management. Quantify achievements where possible.

• Curate Your Portfolio: Select 2-3 of your most impactful projects that demonstrate strategic leadership, team management, AI integration, and executive influence. Prepare a concise presentation or document outlining the challenges, your approach, the results, and the business impact.

• Prepare for Behavioral and Strategic Questions: Anticipate questions about your leadership philosophy, strategic research planning, AI in research, and how you drive evidence-based decision-making. Rehearse using the STAR method.

• Research Super Technologies: Understand their product verticals (sports betting, gaming, payments), their mission, and their culture manifesto. Consider how your approach aligns with their values and goals.

⚠️ 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.