UX Researcher

📍 Job Overview

Job Title: UX Researcher

Company: Fundraise Up

Location: Turkey - Remote

Job Type: Full-time

Category: User Experience Research

Date Posted: September 02, 2026

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

Remote Status: Fully Remote

🚀 Role Summary

• Lead complex, ambiguous, and high-impact UX research initiatives to directly inform product strategy and drive innovation within a global fundraising platform.

• Build and scale a pragmatic UX research practice within the Design team, enabling designers to conduct effective research independently while establishing quality guardrails.

• Act as the dedicated UX Research expert, collaborating closely with Product, Design, and Analytics teams to ensure user needs and constraints are consistently represented in product decisions.

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

• Champion user-centricity across the organization by translating qualitative and quantitative insights into actionable product improvements and strategic recommendations.

📝 Enhancement Note: The role is characterized by a high degree of ownership and autonomy, requiring the candidate to independently manage research projects from inception to action. The emphasis on building a research practice suggests a need for strong mentorship and process-building skills, beyond just execution. The explicit mention of AI as a default tool indicates a forward-thinking company culture and a requirement for candidates already proficient with AI in their research workflows.

📈 Primary Responsibilities

• Strategic Research Leadership: Proactively identify research opportunities, define research objectives aligned with quarterly plans, and lead end-to-end execution of high-impact UX research studies.

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

• Methodological Expertise: Select and apply the most suitable research methods (e.g., interviews, usability tests, concept tests, surveys, desk research, competitive scans) based on uncertainty, business goals, and timelines.

• Independent Execution & Operations: Manage all aspects of research execution, including participant recruitment, scheduling, tool setup, data collection, and documentation, with minimal supervision.

• Cross-functional Collaboration: Partner closely with Product Managers, Designers, Product Analytics, Sales, Customer Success, Support, and Marketing teams to gather input, validate research questions, and integrate qualitative and quantitative findings.

• Insight Synthesis & Action Driving: Analyze and synthesize research data to uncover user needs, pain points, and behaviors, and effectively communicate insights and recommendations to stakeholders to drive product decisions and actions.

• AI Integration & Innovation: Experiment with and leverage AI-enabled methods (e.g., synthetic users, AI-assisted analysis) and tools to enhance efficiency in research operations and synthesis, while critically evaluating their value.

• Knowledge Sharing & Evangelism: Act as a change agent for UX research, evangelize its importance, run a "research radar" to share internal learnings and market trends, and contribute to a culture of continuous learning.

• User Advocacy: Serve as the voice of the user, ensuring their needs and constraints are thoroughly understood and represented throughout the product development lifecycle.

📝 Enhancement Note: The responsibilities emphasize a dual focus on deep, strategic research leadership for ambiguous problems and the operationalization of research practices. The expectation to "run your work independently" and "use recruiting platforms and handle logistics yourself" points to a candidate who is highly self-sufficient and experienced in managing the practicalities of research.

🎓 Skills & Qualifications

Education:

• A postgraduate degree in a related field (e.g., Human-Computer Interaction, Psychology, Sociology, Anthropology, Cognitive Science, Information Science) is strongly preferred or equivalent practical experience. Experience:

• 5-10 years of proven experience in UX Research, with a strong track record of running research end-to-end with high ownership and impact.

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

• UX Research Methodologies: Deep expertise in a wide range of qualitative and quantitative research methods, including but not limited to:

  • User Interviews (In-depth, semi-structured)
  • Usability Testing (Moderated and unmoderated)
  • Concept Testing
  • Survey Design and Analysis
  • Diary Studies
  • Competitive Analysis & Benchmarking
  • Desk Research

• Research Operations & Logistics: Proven ability to independently manage participant recruitment, scheduling, consent, tool setup, and session logistics for various research studies.

• AI Tool Proficiency: Demonstrated experience and fluency in using AI tools for research acceleration, such as:

  • AI-powered note-taking and transcription
  • AI-assisted theme identification and tagging
  • AI-generated survey drafts and summaries
  • Understanding of AI's role in synthetic user generation and analysis.

• Analytical & Synthesis Skills: Ability to analyze complex qualitative and quantitative data, synthesize findings into clear, actionable insights, and connect them with product analytics.

• Communication & Presentation: Exceptional verbal and written communication skills, with the ability to present research findings effectively to diverse stakeholders (Product Managers, Designers, Engineers, Leadership) and influence product strategy.

• Product Strategy Acumen: Understanding of how UX research informs product strategy, roadmapping, and decision-making within a fast-paced product development environment.

• Collaboration & Stakeholder Management: Ability to build strong relationships and collaborate effectively with cross-functional teams, including Product, Design, Engineering, Sales, CS, and Marketing.

• Ethical Research Practice: Strong commitment to ethical research principles, user privacy, and respectful participant interaction.

• Fluent English: Professional fluency in English for moderating sessions, analyzing data, and presenting findings.

Preferred Skills:

• NN/g certifications.

• Academic/scientific research background (graduate/PhD track).

• Experience with analytics platforms such as PostHog or Tableau.

• Familiarity with insights repository tools like Productboard.

• Experience in mentoring or teaching research craft, including conducting workshops or onboarding new team members.

• Experience working within the nonprofit or fundraising technology sector.

📝 Enhancement Note: The emphasis on "high ownership" and "running work independently" suggests the need for a proactive, self-starter candidate. The requirement to use AI tools "meaningfully" and "already" implies that candidates should come with existing AI proficiency rather than expecting training. The "research radar" responsibility indicates a proactive approach to staying ahead of industry trends.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrated Research Ownership: Showcase at least 2-3 projects where you independently led the entire research lifecycle, from defining the problem to driving actionable outcomes.

• Methodological Diversity: Include examples that highlight your ability to select and apply appropriate research methods for different types of problems (e.g., exploratory, evaluative, strategic).

• Impact & Actionability: Clearly articulate the business or product impact of your research. Detail how your insights influenced product decisions, led to specific changes, or informed strategic direction. Quantify impact where possible (e.g., improved conversion rates, reduced task completion time, increased user satisfaction scores).

• Systematic Approach: Present your research process clearly, detailing how you approached problem definition, participant recruitment, data collection, analysis, and synthesis for each project.

• Cross-functional Collaboration: Illustrate instances where your research involved collaboration with Product Managers, Designers, or other stakeholders, and how you managed those relationships.

Process Documentation:

• Workflow Design & Optimization: Examples of how you've designed or refined research workflows to improve efficiency, quality, and scalability, particularly in a distributed team environment.

• Implementation & Automation: Showcase how you've implemented research findings into product development processes and leveraged tools (including AI) to automate or streamline research operations.

• Measurement & Analysis: Demonstrate your ability to define research success metrics, track the impact of research initiatives, and connect qualitative findings with quantitative data (e.g., from product analytics).

📝 Enhancement Note: Given the role's focus on building a research practice and the explicit mention of AI tools, the portfolio should ideally showcase how candidates have systematized research processes, improved efficiency, and perhaps experimented with novel tools or methodologies, including AI. Demonstrating an ability to "enable designers" and "create clear quality guardrails" would be a strong differentiator.

💵 Compensation & Benefits

Salary Range: $32,400 - $42,000 USD per year (approximately $2,700 - $3,500 USD per month)

Benefits:

• Generous Paid Time Off: 31 days of annual leave, providing ample opportunity for rest and rejuvenation.

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

• Home Office Setup Assistance: Company support for purchasing essential home office equipment such as an office chair, desk, and monitor to ensure a comfortable and productive remote workspace.

• Professional Development:

  • English learning courses to enhance language proficiency.
  • Support for relevant professional education and certifications, fostering continuous learning.

• Wellness & Lifestyle: Access to gym or swimming pool facilities, and co-working space options for flexibility and well-being.

• Equity Options: Long-term focus with the opportunity to receive equity options, aligning employee success with company growth.

• Remote Work Flexibility: Fully remote working arrangement, allowing for work-life integration from anywhere within Turkey.

Working Hours:

• Standard 40-hour work week, with flexibility to manage research activities and personal life.

📝 Enhancement Note: The provided salary range is monthly. For clarity and comparison with industry benchmarks, it has been annualized and presented in USD, as indicated by the ai_salary_currency field. The salary is explicitly stated to be determined by experience, skills, qualifications, role alignment, and location, suggesting a range within the provided figures. The benefits package is comprehensive, with a strong emphasis on remote work support and professional development.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (specifically, Fundraising Platform for Nonprofits)

Company Size: 160+ employees (as of description)

Fundraise Up operates within the rapidly evolving technology sector, focusing on providing innovative fundraising solutions for nonprofit organizations. This industry context means the company is likely driven by a mission to create social impact, combined with a need for rapid technological advancement to stay competitive. The company's focus on enterprise clients in North America, UK, Australia, and Europe suggests a sophisticated understanding of global markets and a need for robust, scalable solutions.

Company Size Impact on Operations: With over 160 product professionals, Fundraise Up is a mid-sized company. This size typically allows for a balance between structured processes and agile execution. For operations roles, this means there's likely a foundation of established systems and practices, but also ample opportunity to influence and improve them. The team structure is distributed, requiring strong asynchronous communication skills and a reliance on digital collaboration tools.

Founded: While the founding date isn't explicitly provided, the company's presence in the enterprise segment and its recognition on review platforms suggest a mature organization with several years of operational history, likely founded in the last decade to align with the growth of modern SaaS and digital fundraising.

Team Structure:

• Product-Centric: The company emphasizes a "product mindset" and operates with a distributed team of over 160 product professionals. This indicates a strong focus on product development and innovation as core drivers of the business.

• Distributed & Collaborative: Team members are spread across various countries (Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, Cyprus), fostering a global perspective but requiring deliberate efforts in communication and collaboration.

• Flat Structure: The company promotes a "flat structure" with "no politics," suggesting an environment where ideas and contributions are valued based on merit rather than hierarchy, encouraging direct communication and rapid decision-making.

• Cross-functional Integration: The UX Researcher will work closely with Product, Design, Analytics, Sales, CS, Support, and Marketing teams, highlighting a highly integrated approach to product development and customer understanding.

Methodology:

• Innovation Focus: Fundraise Up is built on innovation that directly impacts results, such as faster load times, higher conversion rates, global payment support, and accessibility-first design. This implies a data-driven, results-oriented approach.

• AI as a Default Tool: The company strongly emphasizes the active use of AI in day-to-day work, expecting employees to identify AI's potential to reshape problems and improve operations. This suggests a culture of embracing new technologies and continuous learning.

• Thoughtful Collaboration: Despite its scale, the company operates like a focused team, valuing thoughtful collaboration, strong engineering practices, and a product mindset. This indicates a commitment to quality, efficiency, and collective problem-solving.

• Transparency: A transparent company culture is highlighted, with sharing of growth metrics, revenue sources, and future plans, fostering trust and alignment among team members.

Company Website: https://fundraiseup.com/

📝 Enhancement Note: The company's mission-driven nature (supporting nonprofits) combined with its sophisticated technology and global enterprise focus creates a unique operating environment. The strong emphasis on AI and a flat structure suggests a dynamic, forward-thinking culture where proactive individuals can thrive.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior UX Researcher or Lead UX Researcher within the Design team. It is not an entry-level position, indicated by the 5-10 years of experience requirement and the expectation to "lead complex, ambiguous, high-impact UX research." The role involves not only executing research but also defining and scaling the research practice itself, which is a significant step beyond individual contributor execution.

Reporting Structure: The UX Researcher is the "dedicated UX Research expert within the Research Team" and works alongside Product and Marketing Researchers. While the direct reporting line isn't specified, they likely report to a Head of Design, Director of Product, or a similar senior leadership role responsible for product development and user experience. They will collaborate closely with Product Managers and Designers.

Operations Impact: The UX Researcher's impact is central to Fundraise Up's product strategy and success. By ensuring user needs are deeply understood and represented, they directly influence:

• Product Strategy: Informing the long-term vision and roadmap through deep user insights.

• Product Development: Guiding the design and iteration of features, checkout experiences, widgets, and portals.

• Conversion Rates & Donor Engagement: Optimizing the donation experience to increase donations and improve donor satisfaction.

• Accessibility & Inclusivity: Championing accessibility-first design principles to broaden the platform's reach and impact.

• Operational Efficiency: By building a scalable research practice, they enable faster, more informed decision-making across the product and design teams.

Growth Opportunities:

• Leadership in Research Practice: The opportunity to build and own the UX Research practice offers significant growth potential, moving towards a role of Research Lead or Manager, defining best practices and mentoring junior researchers.

• Strategic Influence: Deep involvement in high-impact research allows for substantial influence on product strategy and company direction, potentially leading to roles with greater strategic responsibility.

• Skill Specialization & AI Expertise: Continuous learning and application of AI in research can position the individual as an expert in cutting-edge UX methodologies, a highly valuable skill in the market.

• Cross-functional Expertise: Working closely with Product, Analytics, Sales, and CS teams provides a holistic understanding of the business, opening doors to broader product management or GTM roles.

• Mentorship & Coaching: The expectation to coach designers and share knowledge ("research radar") offers opportunities to develop leadership and teaching skills.

📝 Enhancement Note: This role is ideal for a seasoned UX Researcher looking to make a strategic impact, build a function from the ground up, and operate in a highly innovative, AI-forward environment. The growth path is clearly defined towards leadership and strategic influence within the product organization.

🌐 Work Environment

Office Type: Fully Remote. Fundraise Up operates with a distributed team, meaning there is no central physical office for this role. The company offers "Co-working" and "Gym or swimming pool" benefits, suggesting that while the work is remote, there are options for individuals to utilize shared workspaces or local facilities if desired, depending on their location within Turkey.

Office Location(s):

• Primary Location: Turkey - Remote. The role is explicitly for individuals based in Turkey who can work remotely.

• Company Presence: While the role is remote in Turkey, the company has a global presence with team members and operations across Europe, North America, and Australia.

Workspace Context:

• Remote Autonomy: The work environment is designed for remote autonomy, with the expectation that employees can manage their time and workspace effectively.

• Home Office Support: The company provides "Home Office Setup Assistance" for essential furniture and equipment, ensuring a conducive and ergonomic remote work setup.

• Digital Collaboration: The distributed nature of the team necessitates a strong reliance on digital collaboration tools (e.g., Slack, video conferencing, project management software) for communication, meetings, and knowledge sharing.

• Access to Tools: Employees will have access to necessary tools and data for their research, including AI platforms like Claude, and potentially analytics tools like PostHog/Tableau.

• Team Interaction: Despite being remote, the company fosters a collaborative environment through regular team meetings, cross-functional project work, and opportunities for knowledge sharing, ensuring researchers remain connected and integrated.

Work Schedule:

• The role implies a standard 40-hour work week, common for full-time positions. However, the remote nature likely offers some flexibility in how those hours are structured, allowing individuals to manage their workday around core meeting times and personal commitments. This flexibility is crucial for conducting research that may require participants in different time zones or for accommodating personal needs.

📝 Enhancement Note: The remote setup is a core component of the role and company culture. The emphasis on home office support and the availability of co-working/gym benefits indicate a commitment to employee well-being and productivity in a distributed model. The success of this environment relies heavily on strong asynchronous communication and self-discipline.

📄 Application & Portfolio Review Process

Interview Process:

The interview process is designed to assess research expertise, strategic thinking, operational capability, and cultural fit. Expect a multi-stage process:

1. Initial Screening (Recruiter/HR): A brief call to assess basic qualifications, experience alignment, salary expectations, and logistical details (e.g., location, language proficiency).

2. Hiring Manager Interview: A deeper dive into your UX research experience, focusing on your approach to complex problems, your experience with B2B/B2C research, and your understanding of research operations. Expect questions about your leadership style and how you build practices.

3. Skills Assessment / Case Study Presentation: This is a critical stage. You will likely be given a research challenge or asked to present a portfolio case study.

• Focus: Demonstrate your end-to-end research process, your ability to select appropriate methods, your analytical and synthesis skills, and how you drive action.
• AI Integration: Be prepared to discuss how you use AI in your research workflow and how it adds value.
• Presentation: Clearly articulate the problem, your methodology, key findings, and the impact of your work.

1. Team/Cross-functional Interviews: Meet with potential collaborators (e.g., Product Managers, Designers, Researchers from other disciplines) to assess your collaboration style, communication skills, and how you integrate research into product development.

2. Final Interview (Senior Leadership): A discussion to confirm overall fit, strategic alignment, and long-term potential within the company.

Portfolio Review Tips:

• Curate for Impact: Select 2-3 of your strongest projects that best demonstrate end-to-end ownership, strategic thinking, and measurable impact. Prioritize projects that align with Fundraise Up's mission and product type (SaaS, B2B/B2C, global).

• Tell a Story: Structure each case study as a narrative: the problem, your approach (why you chose specific methods), the insights gained, the actions taken, and the outcomes achieved.

• Show, Don't Just Tell: Use visuals (screenshots, diagrams, anonymized quotes, data visualizations) to illustrate your process and findings.

• Highlight AI Usage: Explicitly detail how you leveraged AI tools in your projects – for efficiency, synthesis, or novel insights. Discuss the benefits and any limitations you encountered.

• Demonstrate Process Building: If possible, include examples of how you've improved research processes, mentored others, or created documentation.

• Quantify Results: Wherever possible, use metrics to showcase the impact of your research (e.g., "reduced task completion time by X%", "increased conversion rate by Y%", "identified Z key pain points leading to feature redesign").

• Practice Your Presentation: Rehearse walking through your portfolio with clear, concise language, anticipating questions about your methodology and decisions.

Challenge Preparation:

• Understand the Context: If given a specific research challenge, thoroughly understand the problem statement, the target audience, and the business goals. Ask clarifying questions.

• Outline Your Approach: Develop a high-level research plan that outlines the objectives, target participants, potential methods, and key deliverables. Be ready to justify your choices.

• Consider AI: Think about how AI tools could be used to accelerate or enhance the research process for the given challenge.

• Focus on Actionability: Emphasize how your proposed research would lead to actionable insights that can inform product decisions.

• Time Management: Practice structuring your thoughts and presentation within the allotted time.

📝 Enhancement Note: The interview process heavily emphasizes practical application and strategic thinking, especially regarding AI integration and practice building. A well-prepared, impactful portfolio presentation is crucial for success. Candidates should be ready to discuss their experience with research operations and how they've mentored or enabled others.

🛠 Tools & Technology Stack

Primary Tools:

• AI Tools: Explicitly mentioned is Claude (likely for advanced natural language processing, content generation, and analysis). Expect proficiency with various AI applications for research acceleration, synthesis, and operational tasks.

• Recruiting Platforms: Candidates are expected to use these independently for participant scheduling and logistics. While specific platforms aren't named, common tools include UserTesting, Lookback, Respondent.io, or internal databases.

• Design & Prototyping Tools: While not directly used for research execution, familiarity with tools like Figma, Sketch, or Adobe XD is beneficial for understanding design outputs and collaborating with designers.

Analytics & Reporting:

• Product Analytics: Strong preference for experience with PostHog or similar tools (e.g., Amplitude, Mixpanel). This is crucial for connecting qualitative user behavior with quantitative product data.

• Data Visualization: Experience with Tableau or similar business intelligence tools (e.g., Power BI, Looker) is a strong plus for analyzing and presenting data effectively.

• Survey Tools: Proficiency with survey platforms like SurveyMonkey, Typeform, or Qualtrics for designing and distributing surveys.

CRM & Automation:

• Insights Repository: Familiarity with Productboard or other insights repository tools is a strong plus, indicating experience in organizing, prioritizing, and disseminating user feedback and research findings.

• Collaboration & Project Management: Proficiency with tools like Slack, Zoom, Google Workspace, Jira, Confluence, or Asana for communication, documentation, and project tracking within a distributed team.

📝 Enhancement Note: The explicit mention of AI (Claude), Product Analytics (PostHog), Data Visualization (Tableau), and Insights Repositories (Productboard) highlights key technology areas. Candidates should be prepared to discuss their experience and proficiency with these specific tools or equivalent alternatives, emphasizing how they use them to drive research efficiency and impact.

👥 Team Culture & Values

Operations Values:

• User-Centricity & Empathy: A core value is having exceptional empathy and care for people. Given the users are nonprofits and donors, this translates to approaching participants with respect, sensitivity, and high ethical standards. User needs and constraints are paramount.

• Data-Driven Decision Making: The company emphasizes connecting quantitative and qualitative evidence. Operations professionals are expected to use data to inform decisions and measure impact, with a strong reliance on analytics.

• Efficiency & AI Adoption: AI is a "default tool, not an experimental one." This means a strong value is placed on leveraging technology to drive efficiency, improve workflows, and accelerate operations. Proactive adoption of new tools and methods is expected.

• Ownership & Accountability: The role requires "high ownership" and the ability to "run your work independently." This reflects a culture that values individuals taking responsibility for their tasks and driving them to completion without constant oversight.

• Collaboration & Transparency: The company values "thoughtful collaboration" and operates with a "transparent company culture." This means open communication, sharing of information, and working effectively across teams are highly valued.

Collaboration Style:

• Cross-functional Integration: Collaboration is integral, with the UX Researcher working closely with Product, Design, Analytics, Sales, CS, and Marketing. This involves active participation in cross-functional meetings, providing research input, and integrating findings into shared roadmaps and strategies.

• Process-Oriented: The role involves building and coaching on research processes. This suggests a collaborative style that is focused on establishing clear workflows, best practices, and quality standards that benefit the entire team.

• Knowledge Sharing: The expectation to run a "research radar" and share learnings indicates a culture that encourages proactive knowledge sharing and continuous learning among team members. Feedback exchange is likely encouraged to refine processes and research quality.

• Mentorship & Enablement: The role requires enabling designers to conduct research independently. This points to a collaborative style that is supportive, educational, and focused on building capacity within the team.

📝 Enhancement Note: The culture at Fundraise Up appears to be a blend of mission-driven empathy, technological innovation (especially AI), and a results-oriented, collaborative approach. Candidates should demonstrate how their personal values and working style align with these principles, particularly regarding user advocacy, data-driven insights, and proactive AI adoption.

⚡ Challenges & Growth Opportunities

Challenges:

• Scaling Research Practice: Building a robust and scalable UX Research function within a growing, distributed Design team requires strategic planning, effective communication, and the ability to balance independent execution with enablement.

• Balancing Ambiguity and Rigor: Leading "complex, ambiguous, high-impact UX research" while maintaining "high research quality bar" and "methodological rigor" requires strong problem-framing skills and adaptability.

• AI Integration & Evolution: Keeping pace with rapidly evolving AI tools and effectively integrating them into research workflows, while ensuring ethical use and maintaining human judgment, presents an ongoing challenge and opportunity.

• Cross-functional Alignment: Ensuring user needs are consistently represented and acted upon across multiple product, engineering, and business functions in a distributed environment requires strong advocacy and communication skills.

• Global User Base: Researching for a global product means understanding diverse user behaviors, cultural nuances, and potentially language barriers (though English is the primary research language here), requiring careful participant selection and methodological adaptation.

Learning & Development Opportunities:

• Develop Leadership in Research: The opportunity to build and own the UX Research practice provides a clear path for developing leadership skills, defining methodologies, and potentially building a future team.

• Deepen AI Expertise: Fundraise Up's commitment to AI offers a unique environment to become an expert in leveraging AI for research operations, synthesis, and even generative research techniques.

• Strategic Product Influence: Involvement in high-impact, product-defining research allows for significant growth in strategic thinking and influencing product roadmaps.

• Mentorship & Coaching Skills: Developing skills in coaching designers and evangelizing research practices provides valuable experience in team enablement and knowledge transfer.

• Industry & Domain Knowledge: Gaining deep insights into the nonprofit sector and the dynamics of fundraising technology can open doors to specialized roles or broader product management opportunities within mission-driven tech companies.

• Professional Education & Certifications: The company supports relevant professional education, allowing for formal skill development in UX, research, or related fields.

📝 Enhancement Note: The challenges presented are significant but come with equally substantial growth opportunities. Candidates who thrive on building, innovating, and strategically influencing will find this role particularly rewarding. The emphasis on AI is a key differentiator for continuous learning.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you led a complex, ambiguous research project from start to finish. What was the outcome, and how did you measure its impact?" (Focus on your process, decision-making, and ability to drive action.)

• "How would you approach building a scalable UX Research practice for a Design team that currently conducts ad-hoc research? What are the key components of your framework?" (Highlight your process-building, coaching, and enablement skills.)

• "Imagine we're considering a major feature change for our donation checkout. How would you approach researching this, and what methods would you prioritize?" (Demonstrate your ability to frame problems, select methods, and connect research to business goals.)

• "Tell me about your experience using AI tools in your research workflow. Provide specific examples of how AI has accelerated your work or improved your insights." (Be ready to detail your AI tools, use cases, and how you maintain methodological rigor.) Company & Culture Questions:

• "What interests you about Fundraise Up's mission and our work in the nonprofit sector?" (Research the company's impact and values.)

• "How do you ensure user needs are represented in product decisions, especially when they conflict with stakeholder opinions or business goals?" (Showcase your user advocacy and negotiation skills.)

• "Describe your experience working in a distributed or remote team environment. What strategies do you use to stay connected and collaborate effectively?" (Highlight your communication and self-management skills.)

• "How do you stay current with new UX research methodologies, tools, and industry trends, particularly in AI?" (Refer to your 'research radar' concept and continuous learning approach.) Portfolio Presentation Strategy:

• Structure: Organize your presentation logically: Introduction (problem, goals) -> Methodology (why these methods) -> Findings (key insights, supported by data/quotes) -> Recommendations (actionable steps) -> Impact (results, learnings).

• Highlight Ownership: Clearly articulate your specific role and contributions in each project, especially if it was a team effort. Use "I" statements for your direct actions.

• Demonstrate AI Value: For each relevant project, explicitly point out where and how AI tools were used, and what tangible benefits they provided (e.g., "AI transcription saved X hours," "AI analysis helped identify Y themes faster").

• Focus on Action & Impact: Emphasize how your research translated into tangible product changes or strategic shifts, and quantify results whenever possible.

• Engage Your Audience: Make it interactive. Ask clarifying questions, and be prepared to discuss alternative approaches or dive deeper into specific aspects of your work.

• Conciseness: Practice delivering your presentation within a set time limit, focusing on the most critical information.

📝 Enhancement Note: The interview process is designed to assess not just research skills, but also strategic thinking, operational self-sufficiency, and a proactive approach to innovation, particularly with AI. Candidates should prepare to discuss their experience in building processes and influencing product strategy, backed by concrete examples from their portfolio.

📌 Application Steps

To apply for this UX Researcher position:

• Submit your application through the provided link on the Fundraise Up careers page.

• Portfolio Customization: Tailor your resume and cover letter to highlight your experience with end-to-end UX research, B2B/B2C product research, AI tool proficiency, and practice-building capabilities. Emphasize projects that demonstrate high ownership and impact.

• Resume Optimization: Ensure your resume clearly outlines your years of experience, specific research methodologies used, key achievements (quantified where possible), and familiarity with relevant tools (e.g., PostHog, Tableau, AI tools like Claude). Use keywords from the job description.

• Portfolio Preparation: Prepare a concise and impactful portfolio showcasing 2-3 key projects. Focus on demonstrating your research process, strategic thinking, actionable insights, and measurable impact. Be ready to discuss your AI integration strategies and how you've driven outcomes.

• Company Research: Thoroughly research Fundraise Up's mission, product, target audience (nonprofits, donors), and recent news. Understand their emphasis on AI and their global operations. Prepare thoughtful questions about their product vision and research challenges.

⚠️ 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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