Senior UX Researcher

📍 Job Overview

Job Title: Senior UX Researcher

Company: Jobgether (on behalf of a partner company)

Location: Ireland

Job Type: Fixed term / Contract

Category: User Experience Research / Product Operations

Date Posted: April 15, 2026

Experience Level: 5+ Years

Remote Status: Fully Remote

🚀 Role Summary

• Lead and execute end-to-end UX research initiatives, with a significant emphasis on quantitative methodologies and large-scale studies.

• Drive data-driven product improvements by translating complex user behaviors and motivations into actionable insights.

• Collaborate effectively with cross-functional product and design teams in a globally distributed, remote-first environment.

• Contribute to a mission-driven platform used by millions worldwide, focusing on knowledge access and social impact.

• Manage research operations, including survey design, participant recruitment, and data analysis, ensuring high-quality outputs.

📝 Enhancement Note: While the role is titled "Senior UX Researcher," the emphasis on "research operations," "large-scale studies," and "statistical analysis" suggests a strong alignment with the analytical and process-oriented aspects often found in Product Operations or specialized GTM Operations roles that interface heavily with user feedback and data. The contract nature and part-time hours (approx. 30/week) also indicate a project-based need for specialized research expertise.

📈 Primary Responsibilities

• Research Strategy & Design: Coordinate with UX Research leads and stakeholders to define research objectives, select appropriate quantitative and mixed-method approaches, and develop comprehensive execution plans.

• Quantitative Research Execution: Design and manage large-scale surveys, usability studies, and UX benchmarking initiatives, ensuring methodological rigor and data integrity.

• Data Analysis & Interpretation: Conduct in-depth statistical analysis of quantitative data, interpret findings, and leverage data visualization techniques to communicate complex results clearly.

• Qualitative Research Support: Execute qualitative research components, such as user interviews, diary studies, or contextual inquiries, to complement quantitative findings and provide deeper user understanding.

• Insight Translation & Communication: Translate research findings into clear, actionable insights and recommendations that directly inform product strategy, feature development, and user experience enhancements.

• Stakeholder Engagement: Effectively communicate research outcomes and strategic implications to diverse stakeholders, including product managers, designers, engineers, and leadership, through compelling written reports and presentations.

• Research Operations Management: Oversee all phases of research operations, including participant recruitment, data collection logistics, and the management of research tools and platforms.

📝 Enhancement Note: The responsibilities heavily lean into the operational aspects of research, including "research operations management," "participant recruitment," and managing "research tools and platforms." This reinforces the idea that the role requires not just research design and analysis, but also the practical execution and infrastructure management common in operations roles.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Psychology, Sociology, Statistics, Computer Science, or a related field is typically expected for a Senior UX Researcher role.

Experience: 5+ years of progressive experience in User Experience (UX) Research, with a demonstrated specialization in quantitative research methodologies.

Required Skills:

• Quantitative Research Expertise: Deep proficiency in survey design, sampling techniques, large-scale usability studies, and UX benchmarking.

• Statistical Analysis & Data Interpretation: Strong command of statistical analysis, data interpretation, and the ability to derive meaningful insights from complex datasets.

• Data Visualization: Proven ability to create clear and compelling data visualizations that effectively communicate research findings.

• Qualitative Research Acumen: Experience conducting qualitative research methods such as user interviews, diary studies, and contextual inquiries.

• Research Design & Methodology: Solid understanding of mixed-method research approaches and the ability to select appropriate methodologies for diverse research questions.

• Project Leadership: Proven track record of independently leading and managing end-to-end research projects from conception to completion.

• Communication & Presentation: Excellent written and verbal communication skills, with a demonstrated ability to present complex findings and strategic recommendations to varied audiences.

• Organizational Skills: Strong time management and organizational capabilities, with the ability to effectively prioritize and manage multiple research projects simultaneously.

• Proactiveness & Problem-Solving: Self-sufficient, proactive mindset with the ability to identify and resolve research-related blockers independently.

Preferred Skills:

• Multilingual abilities (especially relevant for a global platform).

• Experience working with open-source communities or volunteer organizations.

• Familiarity with wiki-based platforms and their user experience dynamics.

• Experience with specialized survey platforms (e.g., Qualtrics, SurveyMonkey Enterprise).

• Familiarity with statistical software packages (e.g., R, SPSS, Python for statistical analysis).

📝 Enhancement Note: The emphasis on quantitative methods, statistical analysis, and research operations management suggests that candidates with a strong analytical foundation and experience in operationalizing research processes will be highly valued. The "nice-to-haves" also point towards a role that interacts with diverse community-driven platforms, requiring adaptability and broader communication skills.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Quantitative Research Case Studies: Showcase at least 2-3 detailed case studies demonstrating your experience in designing, executing, and analyzing large-scale quantitative research studies (surveys, A/B tests, benchmarking). Clearly articulate the research problem, methodology, key findings, and the impact on product decisions or user experience.

• Mixed-Method Integration: Include examples where you effectively integrated qualitative and quantitative data to provide a holistic understanding of user behavior and needs.

• Data Visualization Examples: Provide samples of data visualizations (charts, dashboards snippets) that illustrate how you communicate complex statistical findings to non-technical stakeholders.

• Research Operations Documentation: If possible, include examples of process documentation, survey logic flows, or participant recruitment strategies you've developed or managed.

Process Documentation:

• Research Workflow Design: Demonstrate an understanding of how to design efficient and scalable UX research workflows, from planning and recruitment to data collection and analysis.

• Tool Integration & Management: Highlight experience in selecting, implementing, and managing research tools and platforms that support quantitative and qualitative data collection and analysis.

• Metrics & Impact Reporting: Showcase how you track and report on the impact of your research findings, linking them to specific product improvements, user satisfaction metrics, or business outcomes.

📝 Enhancement Note: For a role emphasizing quantitative research and research operations, the portfolio should clearly demonstrate the candidate's ability to manage complex data projects, implement rigorous methodologies, and translate findings into actionable business insights. The emphasis on "research operations" implies a need to show how candidates manage the practicalities of research execution.

💵 Compensation & Benefits

Salary Range: Based on the "Senior UX Researcher" title, 5+ years of experience, the fixed-term contract nature (approx. 30 hours/week), and the location (Ireland), the estimated annual salary range for this role would be between €50,000 - €75,000 (pro-rated for 30 hours/week, implying an hourly rate of €25-€37.50). This range is an estimate and will be adjusted based on specific location within Ireland, candidate experience, and the partner company's compensation structure.

Benefits:

• Flexible Working Environment: Fully remote, global-first setup allowing for flexibility in work hours and location.

• Global Collaboration: Opportunity to work with a diverse, international team and contribute to a product with worldwide reach.

• Meaningful Impact: Directly contribute to a high-impact knowledge platform that benefits millions globally.

• Part-Time Contract: Approximately 30 hours per week, offering a good work-life balance and focused engagement.

• Competitive Compensation: Remuneration will be competitive and adjusted based on individual location and experience.

• Exposure to Large-Scale Challenges: Gain experience tackling complex UX research challenges across diverse international user bases.

• Collaborative Team: Work alongside experienced UX researchers and product teams within a supportive environment.

Working Hours: Approximately 30 hours per week, with flexibility in scheduling to accommodate a globally distributed team and varying time zones.

📝 Enhancement Note: The salary estimate is based on typical contract rates for senior-level UX researchers in Ireland, adjusted for the part-time nature of the role. The benefits listed are directly extracted from the job description, highlighting the remote and flexibility aspects which are highly attractive to operations professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: The partner company operates in the Technology sector, specifically focusing on knowledge platforms, education technology, or information services, given the description of a "world’s largest knowledge platforms used by millions of people globally." This industry often fosters innovation, data-driven decision-making, and a mission to democratize access to information.

Company Size: Not explicitly stated, but the mention of "UX Research leads," "research peers," and "stakeholders across time zones" suggests a medium to large organization with established product and research functions.

Founded: The founding date is not specified, but the description implies a mature organization with a significant global user base and established product development processes.

Team Structure:

• UX Research Team: The role involves close coordination with UX Research leads and peers, suggesting a dedicated team responsible for user insights.

• Product & Design Collaboration: Close partnership with product managers, designers, and potentially engineers to integrate research findings into product development cycles.

• Global Distribution: The team operates in a "remote-first and globally distributed environment," requiring strong asynchronous communication and cross-cultural collaboration skills.

• Cross-functional Integration: Researchers are embedded within or work closely with product teams to ensure research directly informs strategy and execution.

Methodology:

• Data-Driven Decision-Making: A strong emphasis on quantitative data, statistical analysis, and large-scale studies to guide product decisions.

• User-Centricity: Commitment to understanding user behaviors, motivations, and needs to improve the product experience.

• Actionable Insights: Focus on translating research findings into concrete, implementable product improvements.

• Agile Research Practices: Likely adherence to agile development principles, requiring flexibility and iterative research approaches.

Company Website: The partner company's website is not directly provided, but Jobgether's site is: https://jobgether.com/

📝 Enhancement Note: The emphasis on "knowledge platforms," "global social impact," and "data-driven decision-making" paints a picture of a company with a strong mission and a sophisticated approach to product development, where operations and research play a critical role in scaling and optimizing user experience.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior-level researcher position, indicating a need for significant autonomy, expertise, and leadership in research execution. It sits at a mid-to-senior career stage within UX Research.

Reporting Structure: The Senior UX Researcher will coordinate with "UX Research leads" and work alongside "research peers." This suggests a hierarchical structure within the research function, with opportunities to learn from senior leads and mentor junior members if applicable. The role also involves significant collaboration with product and design teams, indicating a matrixed reporting or strong project-based alignment.

Operations Impact: The role's impact is focused on driving "actionable product improvements" and informing "product strategy" through rigorous, data-driven user insights. This directly influences the user experience, feature development, and ultimately, the success and engagement metrics of a globally used knowledge platform. The focus on quantitative research and statistical analysis means the impact is measurable through data and performance metrics.

Growth Opportunities:

• Specialization in Large-Scale Research: Deepen expertise in designing and executing complex, quantitative research projects at scale, a valuable skill in product operations and GTM strategy.

• Cross-Functional Leadership: Enhance collaboration and communication skills by working with diverse global teams, fostering leadership potential in influencing product direction.

• Methodological Advancement: Gain exposure to advanced statistical techniques and cutting-edge research operations practices within a large-scale technology environment.

• Impact on Global Products: Develop a portfolio demonstrating significant contributions to products with substantial social and global reach, enhancing career marketability.

• Potential for Extended Engagements: Successful contract performance could lead to opportunities for longer-term engagements or roles within the partner company's research or operations teams.

📝 Enhancement Note: The growth opportunities are framed through the lens of operations by highlighting the development of skills in managing large-scale data projects, cross-functional influence, and contributing to products where operational efficiency and user insights are paramount for success.

🌐 Work Environment

Office Type: This is a fully remote, global-first position. There is no physical office requirement for the researcher.

Office Location(s): While the role is based in Ireland for administrative purposes (as indicated by the posting), the work itself is performed remotely from any location, with the expectation of collaboration across global time zones.

Workspace Context:

• Remote & Flexible: The primary characteristic is a fully remote work environment, offering significant flexibility in daily work structure.

• Global Collaboration Tools: Expect to utilize a suite of collaboration tools (e.g., Slack, Zoom, Google Workspace, specific research platforms) to communicate and share findings with a distributed team.

• Autonomous Work: The role requires self-sufficiency and the ability to manage one's own schedule and tasks effectively to meet project deadlines.

• Mission-Oriented Culture: The environment is described as "mission-driven," suggesting a focus on collective goals and the impact of the product.

Work Schedule: Approximately 30 hours per week. While flexible, candidates should be prepared to engage with colleagues in various time zones, potentially requiring some overlap with core working hours for synchronous meetings and discussions.

📝 Enhancement Note: The remote-first and flexible aspect is a key draw for operations professionals who value autonomy and work-life integration. The mention of global collaboration implies a need for robust digital communication and project management skills within the remote workspace.

📄 Application & Portfolio Review Process

Interview Process:

• Application Screening: Initial review by Jobgether's AI-powered matching system to assess core requirements.

• Hiring Company Review: Shortlisted candidates' applications are shared with the partner company's internal hiring team for further evaluation.

• Potential Stages (Inferred):

  • Initial Interview: A conversation with a hiring manager or UX Research lead to assess experience, research philosophy, and cultural fit.
  • Skills Assessment/Case Study: A practical exercise or portfolio review focused on quantitative research design, data analysis, and presentation of findings. This is crucial for evaluating your ability to handle "research operations" and deliver actionable insights.
  • Team/Stakeholder Interviews: Meetings with other researchers, product managers, or designers to gauge collaboration style and strategic thinking.
  • Final Evaluation: A conclusive discussion to confirm suitability and terms.

Portfolio Review Tips:

• Quant Focus: Prioritize case studies that highlight your quantitative research design, execution, and statistical analysis skills. Clearly define the research questions, methodologies, sample sizes, and statistical significance of your findings.

• Impact Storytelling: For each case study, clearly articulate the problem you solved, the methods you used, the key insights derived, and, most importantly, the impact your research had on product decisions, user experience, or business outcomes. Quantify impact where possible (e.g., "led to a X% increase in user completion rates," "identified critical usability issues resulting in Y design changes").

• Data Visualization Clarity: Ensure your data visualizations are clean, easy to understand, and effectively communicate complex statistical information to a non-expert audience. Use annotations and explanations to guide the viewer.

• Process & Operations: If you have examples of how you managed research operations, participant recruitment processes, or optimized research workflows, highlight these to demonstrate your ability to handle the "operations" aspect of the role.

• Conciseness: Be prepared to walk through your portfolio efficiently, focusing on the most relevant projects that align with the job requirements.

Challenge Preparation:

• Quantitative Problem Solving: Be ready to discuss how you would approach a given research problem using quantitative methods. This might involve designing a survey, planning an A/B test, or outlining how to analyze a dataset.

• Data Interpretation Scenarios: Practice interpreting statistical outputs and explaining their implications in a product context.

• Stakeholder Communication: Prepare to discuss how you would communicate complex findings to different stakeholders (e.g., engineers, executives) and gain buy-in for your recommendations.

• Remote Collaboration: Consider how you would effectively collaborate with a remote, globally distributed team, manage asynchronous communication, and build consensus.

📝 Enhancement Note: The "How Jobgether works" section indicates an AI screening, so optimizing your application and resume for keywords relevant to quantitative research, data analysis, and research operations is critical. The portfolio review will be a key differentiator, so showcasing concrete examples of operationalizing research is essential.

🛠 Tools & Technology Stack

Primary Tools:

• Survey Platforms: Proficiency with enterprise-grade survey tools like Qualtrics, SurveyMonkey Enterprise, or similar platforms for designing, distributing, and managing large-scale surveys.

• Statistical Analysis Software: Experience with tools for statistical analysis such as R, SPSS, SAS, or Python libraries (e.g., SciPy, StatsModels).

• Data Visualization Tools: Familiarity with tools like Tableau, Power BI, or libraries within R/Python (e.g., ggplot2, Matplotlib, Seaborn) for creating clear data visualizations.

• Qualitative Research Tools: Experience with tools for user interviews (e.g., Zoom, Google Meet), diary studies, and potentially specialized qualitative analysis software (e.g., Dovetail, NVivo).

• Collaboration Suites: Proficient use of Google Workspace (Docs, Sheets, Slides) or Microsoft Office Suite for documentation, analysis, and presentations.

Analytics & Reporting:

• Website Analytics: Experience with tools like Google Analytics or similar platforms to understand user behavior on digital platforms.

• Reporting Dashboards: Ability to create and interpret dashboards for tracking key UX metrics and research findings.

CRM & Automation:

• While not directly stated, familiarity with CRM systems (e.g., Salesforce) can be beneficial for understanding user segmentation and customer data if research involves customer insights.

• Understanding of automation principles in research operations for efficiency.

📝 Enhancement Note: The emphasis on quantitative research and statistical analysis means that tools used for data manipulation, statistical modeling, and visualization are paramount. Candidates should be prepared to discuss their experience with specific software used in these areas.

👥 Team Culture & Values

Operations Values:

• Data-Driven Innovation: A strong belief in using empirical data and statistical rigor to drive product innovation and improvements.

• Global Collaboration & Inclusivity: Commitment to working effectively across diverse cultures and time zones, fostering an inclusive environment where all voices are heard.

• Impact & Mission Focus: Dedication to contributing to a product that has a significant positive impact on global knowledge access and user empowerment.

• Efficiency & Scalability: An appreciation for designing and implementing research processes that are efficient, scalable, and can handle large volumes of data and users.

• Proactiveness & Autonomy: Valuing individuals who are self-sufficient, take initiative, and can independently manage complex projects.

Collaboration Style:

• Cross-functional Partnerships: Emphasis on close collaboration with product, design, and engineering teams to ensure research is integrated throughout the product development lifecycle.

• Data-Sharing Culture: A culture that encourages the open sharing of data, insights, and methodologies across teams to foster collective learning.

• Constructive Feedback: An environment where constructive feedback is welcomed and utilized to refine research approaches and improve product outcomes.

• Asynchronous Communication Proficiency: Excellence in communicating and collaborating effectively through written channels and documentation, accommodating global time differences.

📝 Enhancement Note: The values align with a results-oriented, globally conscious, and data-centric organization. For operations professionals, understanding and demonstrating alignment with these values, particularly around data-driven efficiency and global collaboration, will be key.

⚡ Challenges & Growth Opportunities

Challenges:

• Managing Large-Scale Data: Effectively handling, cleaning, and analyzing large datasets from global user bases can be complex and requires robust methodological and technical skills.

• Cross-Time Zone Collaboration: Coordinating research activities and discussions across multiple time zones demands strong organizational skills and effective asynchronous communication strategies.

• Translating Complex Data into Simple Insights: The challenge of distilling intricate statistical findings into clear, actionable recommendations for diverse stakeholders.

• Balancing Quantitative Rigor with Qualitative Nuance: Ensuring that while quantitative data drives decisions, the qualitative aspects of user experience are not overlooked.

• Remote Work Autonomy: Maintaining high levels of productivity and engagement in a fully remote environment requires strong self-discipline and time management.

Learning & Development Opportunities:

• Advanced Quantitative Techniques: Opportunity to refine and expand expertise in advanced statistical modeling, experimental design, and predictive analytics within a real-world product context.

• Research Operations Mastery: Develop best practices in managing the operational aspects of research, including recruitment pipelines, tool optimization, and process automation.

• Global Product Strategy Influence: Gain experience influencing product strategy for a globally recognized platform, a significant career differentiator.

• Cross-Cultural Research: Enhance skills in designing and conducting research that accounts for cultural variations and diverse user needs worldwide.

• Mentorship & Knowledge Sharing: Engage with senior researchers and peers, participating in knowledge-sharing sessions and potentially receiving mentorship on advanced research or operational strategies.

📝 Enhancement Note: The challenges and growth opportunities are framed to resonate with operations professionals by emphasizing data management, process optimization, cross-functional influence, and the strategic application of research insights for business impact.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you led a large-scale quantitative research study. What was the objective, your methodology, the key statistical findings, and the resulting product impact?" (Focus on rigor, scale, and impact.)

• "How do you approach balancing quantitative data with qualitative insights to get a complete picture of user needs?" (Demonstrate mixed-methods expertise.)

• "Imagine we want to understand user engagement with a new feature. How would you design a research plan, including both quantitative and qualitative components, to assess its success?" (Showcase strategic planning and methodological breadth.)

Company & Culture Questions:

• "What interests you about working on a global knowledge platform and its social impact?" (Connect personal values to the company mission.)

• "How do you manage your workload and prioritize tasks in a remote, flexible work environment?" (Demonstrate self-management and autonomy.)

Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, follow a clear structure: Problem -> Research Questions -> Methodology -> Participants -> Key Findings (with data/visuals) -> Recommendations -> Impact.

• Quantify Everything: Wherever possible, use numbers and statistics to support your claims about findings and impact.

• Visual Appeal: Use clean, professional slides with clear data visualizations. Avoid clutter.

• Focus on Operations: If you have examples of how you managed research operations, recruitment, or process improvements within your research projects, call these out specifically.

• Be Prepared for Q&A: Anticipate questions about your methodology, data interpretation, and how you handled challenges. Practice articulating your thought process clearly.

📝 Enhancement Note: The interview preparation advice is tailored to highlight the quantitative and operational aspects of the role, encouraging candidates to showcase their ability to manage complex data projects and communicate their findings effectively to drive product decisions.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Jobgether platform.

• Optimize Your Resume: Tailor your resume to highlight keywords such as "quantitative research," "statistical analysis," "survey design," "research operations," "large-scale studies," "mixed-methods," and "stakeholder communication." Quantify your achievements whenever possible.

• Curate Your Portfolio: Select 2-3 of your strongest case studies that best demonstrate your quantitative research expertise, ability to manage research operations, and the impact of your findings. Ensure your portfolio is easily accessible (e.g., PDF, personal website).

• Prepare Your Narrative: Practice articulating your experience and case studies clearly and concisely, focusing on the problem, your approach, the insights, and the measurable impact. Be ready to discuss how you managed the operational aspects of your research projects.

• Research the Context: Familiarize yourself with the concept of "knowledge platforms" and their importance. Consider how UX research contributes to their growth and user engagement. Understand Jobgether's role in the application process.

⚠️ 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.

---