UX Researcher

📍 Job Overview

Job Title: UX Researcher

Company: Fundraise Up

Location: Armenia - Remote

Job Type: Full-Time

Category: UX Research & Product Design Operations

Date Posted: 2026-09-02T13:52:52

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

Remote Status: Fully Remote

🚀 Role Summary

• Lead complex, ambiguous, and high-impact UX research initiatives to inform product strategy and drive user-centered design decisions.

• Establish and scale a pragmatic UX Research practice within the Design team, enabling designers to conduct research independently while maintaining quality guardrails.

• Serve as the dedicated UX Research expert, collaborating closely with Product, Design, and Analytics teams to translate qualitative and quantitative insights into actionable product improvements.

• Actively evangelize UX research best practices and act as a change agent, proactively identifying opportunities and coaching colleagues across the organization.

• Leverage AI tools extensively to accelerate research operations, synthesis, and analysis, while maintaining methodological rigor and human judgment.

📝 Enhancement Note: The role is positioned as a senior individual contributor with significant responsibility for building and scaling a research practice. The emphasis on AI tools and a "research radar" suggests a forward-thinking and proactive approach to research operations within a fast-paced tech environment. The estimated experience level of 5-10 years is based on the scope of responsibilities, including leading complex research, building a practice, and mentoring.

📈 Primary Responsibilities

• Strategic Research Leadership: Proactively identify research opportunities aligned with quarterly plans and company objectives, and lead end-to-end research projects from brief intake to actionable insights delivery.

• Practice Development & Enablement: Design and implement a scalable, pragmatic UX Research process for the Design team, create clear quality guardrails, and provide coaching to empower designers to conduct appropriate research independently.

• Methodology Design & Execution: Select and apply appropriate research methodologies (e.g., interviews, usability tests, concept tests, surveys, desk research, competitive scans) based on uncertainty levels, business goals, and timelines.

• Independent Research Operations: Manage all aspects of research execution, including participant recruiting, scheduling, tool setup, session logistics, note-taking, and documentation, with a high degree of autonomy.

• Cross-Functional Collaboration: Partner closely with Product Managers, Product Designers, Product Analytics, Sales, Customer Success, and Support teams to gather input, define research questions, and synthesize findings into a comprehensive understanding of user behavior.

• Quantitative & Qualitative Synthesis: Integrate qualitative research findings with quantitative data from Product Analytics to provide a holistic picture of user behavior and inform product decisions.

• Innovation & Experimentation: Explore and experiment with new research approaches and tools, including moderated/unmoderated testing and AI-enabled methods like synthetic users, to enhance research value and efficiency.

• User Advocacy: Act as the primary advocate for user needs and constraints, ensuring they are consistently represented in product development decisions and moving beyond subjective opinions.

• Knowledge Sharing: Maintain a "research radar" to track internal learnings, market trends, competitor activities, and high-signal UX/product sources, sharing regular updates to keep the team informed and mitigate blind spots.

📝 Enhancement Note: The responsibilities highlight a dual focus on individual research execution and strategic practice building. The emphasis on "end-to-end research" and "running your work independently" suggests a need for a highly self-sufficient and organized candidate. The requirement to "coach and challenge colleagues" points to a leadership potential within the design function.

🎓 Skills & Qualifications

Education:

• A postgraduate degree in a relevant field such as Human-Computer Interaction (HCI), Psychology, Sociology, Anthropology, Computer Science, or a related discipline is preferred.

• Academic/scientific research background (graduate/PhD track) is considered a strong plus. Experience:

• Proven experience (estimated 5-10 years) in conducting UX research end-to-end with a high degree of ownership and accountability.

• Demonstrated experience working with both B2C and B2B products and understanding diverse user audiences. Required Skills:

• UX Research Expertise: Deep understanding and practical application of various qualitative and quantitative research methodologies (interviews, usability testing, surveys, concept testing, competitive analysis, desk research).

• Research Operations Proficiency: Ability to independently manage the full research lifecycle, including participant recruiting, scheduling, tool setup, and data synthesis.

• AI Tool Integration: Proficient in leveraging AI tools (e.g., Claude) for research operations, synthesis, note-taking, tagging, drafting survey questions, and generating summaries, while maintaining methodological rigor.

• Analytical & Synthesis Skills: Ability to connect quantitative data from Product Analytics with qualitative research findings to form comprehensive insights.

• Communication & Presentation: Excellent verbal and written communication skills, with the ability to present complex findings clearly and persuasively to diverse stakeholders, including Product Managers and leadership.

• Stakeholder Management: Experience in collecting input from Sales, CS, Support, Marketing, and Analytics, and translating it into testable research questions.

• Methodological Rigor: Commitment to high research quality, including correct research methods, structured methodology, predictable timelines, and ethical practices.

• Language Proficiency: Fluent English for moderating sessions, conducting interviews, and presenting findings.

Preferred Skills:

• NN/g Certifications: Nielsen Norman Group certifications in UX research are highly desirable.

• Analytics Tools: Experience with tools like PostHog or Tableau for data analysis and visualization.

• Insights Repository Tools: Familiarity with tools like Productboard for managing research findings and insights.

• Mentoring & Teaching: Experience in mentoring junior researchers, conducting workshops, onboarding new team members, or sharing research craft.

• AI Fluency: Proactive exploration and application of AI in problem-solving and operational efficiency.

📝 Enhancement Note: The requirements emphasize practical, hands-on experience with a strong emphasis on autonomy and AI integration. The "strong plus" items suggest areas where candidates can differentiate themselves and demonstrate advanced capabilities. The requirement for fluent English is critical due to the international nature of the user base and team.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• End-to-End Case Studies: Showcase 2-3 detailed case studies demonstrating your ability to lead research projects from inception to impact. Each case study should clearly outline the problem statement, research objectives, chosen methodology, execution process, key findings, and the resulting product or strategic impact.

• Methodology Diversity: Include examples of research conducted using a variety of methods, illustrating your versatility and ability to select the most appropriate approach for different research questions and contexts.

• AI Integration Examples: Highlight specific instances where you utilized AI tools to enhance research efficiency, accelerate synthesis, or improve the quality of insights. Detail the tools used and the tangible benefits achieved.

• Cross-Functional Collaboration: Demonstrate how you have collaborated with Product, Design, Analytics, Sales, and Support teams to gather input, validate hypotheses, and drive product decisions.

• Impact & Metrics: Quantify the impact of your research whenever possible. This could include improvements in conversion rates, user satisfaction scores, task completion times, or adoption of new features.

Process Documentation:

• Research Process Mapping: Be prepared to articulate your personal research process, including how you define research questions, plan studies, recruit participants, conduct sessions, analyze data, and synthesize findings.

• Practice Building Contributions: If applicable, be ready to discuss how you have contributed to building or improving research practices, including developing templates, guidelines, or training materials.

• AI Workflow Examples: Provide examples of how you have integrated AI into your research workflows, such as using AI for summarizing interview transcripts, identifying themes, or generating initial hypotheses.

📝 Enhancement Note: The portfolio requirements are geared towards demonstrating practical application, strategic thinking, and the ability to drive impact. Candidates should focus on showcasing their end-to-end capabilities and their proficiency with modern research tools, particularly AI.

💵 Compensation & Benefits

Salary Range:

• The compensation range for this role is $2,700 - $3,500 USD gross per month.

• Final compensation will be determined based on relevant experience, skills, qualifications, alignment with the role’s requirements, and location. Benefits:

• Generous Time Off: 31 days of paid annual leave.

• Comprehensive Health: 100% paid telemedicine plan for accessible healthcare.

• Home Office Setup Assistance: Support for purchasing essential home office furniture (office chair, desk, monitor) and other items to create a productive workspace.

• Professional Development:

  • English learning courses to enhance language proficiency.
  • Relevant professional education and training opportunities.

• Wellness & Lifestyle:

  • Access to a gym or swimming pool.
  • Co-working space access.

• Remote Work Flexibility: Fully remote working arrangement.

• Long-Term Incentives: Equity options offered, valuing sustained and meaningful contribution.

Working Hours:

• Estimated 40 hours per week, aligning with full-time employment expectations.

• While remote, adherence to core working hours or responsiveness during agreed-upon times will be expected to facilitate collaboration with a globally distributed team.

📝 Enhancement Note: The salary range is provided in USD gross per month. The benefits package is robust, with a strong emphasis on professional development, wellness, and remote work support, including home office setup and equity options. The "long-term focus" mentioned in the company description is reflected in the equity offering.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (SaaS for Nonprofits)

Company Size: 160+ product professionals, operating globally. This size suggests a dynamic environment with established processes but still agile enough for individual impact. For operations professionals, this means opportunities to influence and refine processes, with a good balance between structure and autonomy.

Founded: Fundraise Up is a growing technology company focused on empowering nonprofits. Their focus on innovation, accessibility, and a quality product has led to significant adoption by leading global nonprofits.

Team Structure:

• Distributed Product Team: The product team consists of over 160 professionals, with a significant presence in Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. This distributed nature requires strong communication and asynchronous collaboration skills.

• Cross-Functional Collaboration: The UX Researcher will be part of the Design team but will work closely with Product Management, Product Analytics, Marketing, Sales, and Customer Success. This indicates a highly collaborative environment where research insights are integrated across various functions.

• Reporting: While not explicitly stated, the role of a dedicated UX Research expert within the Research Team suggests a potential specialization within a larger Product or Design department, likely reporting to a Head of Design or similar leadership role.

Methodology:

• Data-Driven Innovation: Fundraise Up emphasizes innovation that directly impacts results, using data to drive decisions. This applies to product development and likely extends to how they measure success and efficiency.

• Product Mindset: The team values a strong product mindset, encouraging ownership and a deep understanding of user needs and business goals.

• AI as a Default Tool: A core aspect of their methodology is the proactive and integrated use of AI across all functions to enhance efficiency and problem-solving.

Company Website: https://fundraiseup.com/

📝 Enhancement Note: The company culture emphasizes a flat structure, transparency, and a focus on impactful work. The distributed nature of the team and the strong emphasis on AI integration are key cultural elements that operations professionals should be aware of.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a senior individual contributor, responsible for both executing high-impact research and building out the research practice. It requires significant autonomy, strategic thinking, and the ability to mentor others. It's a step towards potential leadership in UX Research or a specialized senior IC path.

Reporting Structure: The UX Researcher is a dedicated expert within the Research Team, working alongside Product and Marketing Researchers. They will collaborate closely with Product, Design, and Analytics teams, suggesting a matrixed reporting or strong cross-functional leadership influence.

Operations Impact: The UX Researcher's impact is directly tied to informing product strategy and improving user experience for both nonprofits and donors. By ensuring user needs are central to product decisions, they directly contribute to higher conversion rates, increased donation volume, and ultimately, the success of the nonprofits they serve.

Growth Opportunities:

• Research Practice Leadership: Opportunity to shape and scale the UX Research practice, defining processes, best practices, and potentially building out a future research team.

• Skill Specialization: Deepen expertise in advanced research methodologies, including AI-enabled research techniques and their application in a SaaS environment.

• Cross-Functional Expertise: Gain extensive experience collaborating with diverse product development functions, understanding the full product lifecycle from strategy to execution.

• Mentorship & Coaching: Develop leadership skills by coaching designers and evangelizing research across the organization.

• Industry Influence: Contribute to a product used by leading global nonprofits, impacting significant philanthropic efforts.

📝 Enhancement Note: The role offers substantial growth potential for individuals looking to build a research function from the ground up, deepen their expertise in cutting-edge research techniques, and make a significant impact on a globally recognized product.

🌐 Work Environment

Office Type: Fully Remote. This offers maximum flexibility in terms of location and work-life balance.

Office Location(s): Armenia - Remote. This designation implies that candidates based in Armenia are preferred or that the role is structured to accommodate this specific region, likely due to legal or operational considerations.

Workspace Context:

• Asynchronous Collaboration: Given the distributed team, expect a heavy reliance on asynchronous communication tools (Slack, email, project management software) and well-documented processes.

• AI-Enhanced Operations: The environment is deeply integrated with AI tools, meaning team members are expected to be proficient and proactive in using AI to streamline workflows and enhance productivity.

• Collaborative Tools: Access to a suite of collaboration and research tools, including AI platforms (like Claude), analytics tools (PostHog, Tableau), and potentially insights repositories (Productboard).

Work Schedule:

• Standard full-time hours are expected (approx. 40 hours/week).

• While remote, flexibility is implied, but responsiveness and availability for key meetings and collaborations will be crucial. Specific working hours might need to align with core business hours for collaboration with other teams in different time zones.

📝 Enhancement Note: The remote-first nature of the company, combined with its distributed team and emphasis on AI, creates a modern and flexible work environment. Candidates should be comfortable with asynchronous communication and possess strong self-management skills.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your application, CV, and portfolio to assess qualifications and experience.

• Hiring Manager/Team Interview: Discussion focused on your experience, research philosophy, approach to practice building, and how you leverage AI. Expect behavioral questions and scenario-based inquiries.

• Skills Assessment/Case Study: You may be asked to complete a take-home assignment or present a case study from your portfolio that demonstrates your end-to-end research capabilities, methodology, and impact.

• Team/Cross-Functional Interviews: Meetings with Product Managers, Designers, and potentially Product Analysts to assess collaboration style, communication skills, and cultural fit.

• Final Interview: Likely with senior leadership to discuss strategic fit, long-term vision, and alignment with company values.

Portfolio Review Tips:

• Structure for Impact: Organize your portfolio with clear case studies. For each, detail the problem, your role, methodology, process, key insights, and quantifiable outcomes.

• Showcase Autonomy: Highlight projects where you took full ownership of the research process, from recruitment to analysis and presentation.

• Demonstrate AI Integration: Explicitly show how you've used AI tools to improve efficiency or outcomes in your research. Provide specific examples.

• Tailor to the Role: Emphasize experience with B2B/B2C products, complex/ambiguous problems, and practice-building initiatives.

• Prepare for Presentation: Be ready to walk through a chosen case study in detail, answering in-depth questions about your decisions and findings.

Challenge Preparation:

• Methodology Justification: Be ready to defend your choice of research methods for specific scenarios.

• AI Application Scenarios: Prepare to discuss how you would use AI to tackle common research challenges or streamline specific tasks.

• Practice Building Strategies: Think about how you would approach building a research practice, including onboarding designers, setting guardrails, and measuring success.

• Collaboration Scenarios: Prepare examples of how you've worked with product managers, designers, and data analysts to drive product decisions.

📝 Enhancement Note: The interview process is likely to be thorough, with a strong emphasis on practical skills, strategic thinking, and the ability to integrate AI into research workflows. The portfolio is a critical component, so candidates should invest time in curating and presenting it effectively.

🛠 Tools & Technology Stack

Primary Tools:

• AI Platforms: Extensive use of AI is expected. Candidates should be proficient with tools like Claude, and potentially others for text generation, summarization, analysis, and ideation.

• Research Platforms: Tools for conducting moderated and unmoderated usability testing, surveys, and interviews (e.g., UserTesting.com, Lookback, Maze, SurveyMonkey, Typeform).

• Collaboration Tools: Slack, Zoom, Google Workspace (Docs, Sheets, Slides), and potentially project management tools like Jira or Asana.

Analytics & Reporting:

• Product Analytics: Experience with tools like PostHog (mentioned as a strong plus) or similar platforms for analyzing user behavior quantitatively.

• Data Visualization: Proficiency with tools like Tableau (mentioned as a strong plus) or other BI tools for creating dashboards and reports that integrate qualitative and quantitative findings.

CRM & Automation:

• While not directly listed as primary tools for UX Research, understanding how research insights feed into CRM strategies or product development workflows informed by CRM data could be beneficial. Familiarity with how product features are managed and tracked (e.g., via Productboard) is also relevant.

📝 Enhancement Note: The emphasis on AI is paramount. Candidates should be prepared to discuss their experience and comfort level with AI tools in a research context. Familiarity with PostHog and Tableau is a significant advantage.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and advocating for user needs, ensuring that product decisions are grounded in user behavior and feedback, not just opinions.

• Data-Driven Decision Making: Utilizing both qualitative and quantitative data to inform strategy and measure impact. AI is seen as a tool to enhance this data-driven approach.

• Collaboration & Transparency: Working effectively with cross-functional teams, sharing insights openly, and contributing to a transparent company culture where information about growth and strategy is readily available.

• Innovation & Proactivity: Actively seeking new opportunities, experimenting with new tools and methods (especially AI), and driving initiatives rather than waiting for direction.

• High Ownership & Accountability: Taking responsibility for research outcomes, managing projects independently, and delivering high-quality work consistently.

Collaboration Style:

• Asynchronous & Documentation-Focused: Given the distributed nature, collaboration relies heavily on clear documentation, well-structured communication, and leveraging asynchronous tools.

• Cross-Functional Integration: Researchers are embedded within product development cycles, working closely with Product Managers, Designers, and Analytics to ensure research insights are integrated seamlessly.

• Knowledge Sharing Culture: A commitment to continuous learning and sharing, exemplified by the "research radar" concept and the expectation that team members will share new learnings and best practices.

• Constructive Challenge: Openness to thoughtful collaboration, where colleagues challenge each other constructively to improve outcomes and ensure the highest quality work.

📝 Enhancement Note: The culture values proactive individuals who are comfortable with autonomy, leverage AI effectively, and are strong collaborators in a remote, distributed environment.

⚡ Challenges & Growth Opportunities

Challenges:

• Building a Scalable Practice: The primary challenge will be establishing and growing a robust UX Research practice within a Design team that is already operational, ensuring it scales effectively without becoming a bottleneck.

• Ambiguous & High-Impact Research: Tackling complex, ill-defined research problems and translating them into actionable strategies requires strong problem-solving skills and strategic thinking.

• AI Integration Mastery: Staying at the forefront of AI-enabled research methods and effectively integrating them into daily workflows while maintaining methodological rigor.

• Balancing Autonomy with Collaboration: Effectively managing independent research operations while ensuring seamless collaboration and communication with a global, distributed team.

• Advocating for User Needs: Consistently ensuring user needs are prioritized amidst competing business objectives and stakeholder opinions.

Learning & Development Opportunities:

• Advanced AI in Research: Deep dive into emerging AI applications for UX research, from generative AI for synthesis to AI-driven participant recruitment and analysis.

• Practice Leadership Development: Gain hands-on experience in defining research frameworks, developing training materials, and mentoring junior team members.

• Cross-Disciplinary Exposure: Work closely with Product Analytics, Marketing, and Sales teams, broadening understanding of the entire GTM and product development lifecycle.

• Global Product Impact: Contribute to a product that empowers nonprofits worldwide, offering a unique perspective on user needs in the philanthropic sector.

• Professional Education: Access to relevant professional development and training to stay current with industry trends and enhance research craft.

📝 Enhancement Note: The role presents significant opportunities for professional growth by tackling complex challenges in practice building, AI integration, and strategic research, all within a supportive and innovative environment.

💡 Interview Preparation

Strategy Questions:

• "How would you approach building a UX Research practice from the ground up within a growing Design team?" (Focus on scalability, enablement, and quality guardrails.)

• "Describe a time you led a complex, ambiguous research project from end-to-end. What was the problem, your approach, and the impact?" (Highlight ownership, methodology choice, and outcome.)

• "How do you see AI transforming UX Research, and what specific AI tools do you currently use to enhance your research operations and synthesis?" (Be ready to provide concrete examples and discuss the balance between AI and human judgment.)

• "How do you ensure user needs are represented in product decisions when faced with strong opinions or conflicting priorities from stakeholders?" (Focus on advocacy, data, and persuasive communication.) Company & Culture Questions:

• "What do you know about Fundraise Up and our mission to empower nonprofits?" (Research the company's impact, values, and product.)

• "How do you approach collaboration in a remote, distributed team environment?" (Emphasize asynchronous communication, documentation, and proactive engagement.)

• "How do you stay current with UX research trends and new methodologies, particularly in the rapidly evolving AI landscape?" (Discuss your "research radar" approach and continuous learning.) Portfolio Presentation Strategy:

• Focus on Impact: For each case study, clearly articulate the problem, your specific contributions, the methodology, key insights, and the tangible business or user outcomes. Quantify impact whenever possible.

• Demonstrate Process: Be ready to walk through your research process step-by-step, explaining the rationale behind your methodological choices.

• Highlight AI Integration: Explicitly point out where and how AI tools were used, and what benefits they provided.

• Showcase Collaboration: Explain how you worked with cross-functional teams to gather input and drive action.

• Be Ready for Deep Dives: Anticipate detailed questions about your decisions, data analysis, and any challenges encountered.

📝 Enhancement Note: Preparation should focus on demonstrating practical experience, strategic thinking, a strong grasp of research methodologies, and a proactive approach to leveraging AI.

📌 Application Steps

To apply for this UX Researcher position:

• Submit your application through the Fundraise Up careers portal.

• Curate Your Portfolio: Select 2-3 of your strongest end-to-end UX research case studies that showcase your ability to lead complex projects, demonstrate methodological diversity, and highlight the impact of your work. Ensure you clearly articulate your role, process, insights, and outcomes.

• Highlight AI Proficiency: Explicitly detail your experience using AI tools within your CV and portfolio. Provide specific examples of how AI has enhanced your research operations, synthesis, or analysis.

• Tailor Your Resume: Emphasize keywords and experiences directly relevant to the job description, such as "UX Research," "Product Strategy," "B2B/B2C," "AI Tools," "Practice Building," and "End-to-End Research." Quantify achievements where possible.

• Prepare for Case Study Presentation: Practice articulating your portfolio case studies, focusing on clear storytelling, justification of methodological choices, and demonstrating the impact of your research. Be ready to discuss how you would approach practice building and AI integration.

• Research Fundraise Up: Understand the company's mission, product offerings, target audience (nonprofits and donors), and their commitment to AI. This will help tailor your responses and demonstrate genuine interest.

⚠️ 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.

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