UX Researcher

📍 Job Overview

Job Title: UX Researcher

Company: Nebius

Location: Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom

Job Type: Full-Time

Category: Product Design / UX Research

Date Posted: 2026-05-18T14:26:41

Experience Level: Mid-Senior Level (6+ years)

Remote Status: On-site

🚀 Role Summary

• Spearhead end-to-end UX research initiatives for complex B2B and technical AI cloud platform products, driving product strategy and design decisions.

• Establish and scale robust UX research processes, frameworks, and best practices across the organization to ensure consistent, high-quality user insights.

• Integrate advanced AI tools into research workflows to enhance synthesis, insight generation, participant analysis, and overall operational efficiency.

• Collaborate cross-functionally with Product Design, Product Management, Engineering, and Analytics teams to translate research findings into actionable product improvements and strategic product roadmap contributions.

• Leverage a combination of qualitative research methodologies and web/product analytics data to identify user behavior patterns, validate hypotheses, and champion data-informed product development.

📝 Enhancement Note: The role is explicitly focused on B2B and technically complex products within the AI cloud infrastructure domain. This implies a need for researchers experienced in understanding and engaging with highly technical user groups such as developers, DevOps engineers, and ML practitioners, and a focus on usability within dense, feature-rich interfaces. The emphasis on scaling research operations and integrating AI tools suggests a strategic, process-oriented approach to UX research.

📈 Primary Responsibilities

• Conduct comprehensive, end-to-end UX research for complex B2B and technical products within the AI cloud infrastructure space.

• Plan, recruit, and lead qualitative research studies, including in-depth user interviews, usability testing, workflow analyses, and concept validation, specifically targeting technical users like developers, DevOps engineers, ML engineers, and enterprise administrators.

• Foster strong collaborative relationships with Product Design, Product Management, Engineering, and Analytics teams to effectively influence product strategy and inform UX decisions.

• Analyze user behavior and product usage patterns by combining qualitative research findings with data from web and product analytics platforms (e.g., Google Analytics, Amplitude, Mixpanel).

• Drive usability improvements for technically complex interfaces characterized by high information density and advanced configuration workflows.

• Develop and implement scalable UX research processes, frameworks, and best practices to standardize research methodologies across the organization.

• Explore and integrate modern AI tools into research workflows to optimize synthesis, insight generation, participant analysis, and operational efficiency.

• Clearly articulate and present research findings, insights, and actionable recommendations to both technical and non-technical stakeholders through compelling reports and presentations.

📝 Enhancement Note: The responsibilities highlight a need for a proactive researcher who can not only execute research but also build and optimize the research function itself. The focus on "complex product flows and technical interfaces" and "large information density and advanced configuration workflows" indicates a need for a researcher adept at handling intricate user experiences common in infrastructure and developer tools.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Human-Computer Interaction, Psychology, Sociology, Anthropology, Computer Science, or a related field is typically expected for UX Research roles of this seniority.

Experience: 6+ years of dedicated UX research experience, with a strong emphasis on technical or B2B products, demonstrating a proven track record of influencing product decisions through research.

Required Skills:

• Over 6 years of hands-on UX research experience specifically within technical or B2B product environments.

• Proficient in leveraging web and product analytics tools (e.g., Google Analytics, Amplitude, Mixpanel) and applying behavioral data to inform product decisions.

• Demonstrated experience researching complex technical domains such as cloud platforms, developer tools, infrastructure products, AI/ML systems, or enterprise SaaS.

• Strong command of qualitative research methodologies, including conducting effective interviews and usability studies with technical user groups.

• Proven ability to synthesize and integrate findings from both qualitative and quantitative research methods.

• Excellent stakeholder management and cross-functional collaboration skills, with the ability to influence teams across Product, Design, Engineering, and Analytics.

• Experience in building, scaling, or formalizing research operations and processes within growing organizations.

• Foundational understanding of modern AI tools and their practical applications in research workflows.

• Experience in engaging with and researching technical audiences such as infrastructure engineers, ML practitioners, DevOps engineers, or enterprise administrators.

• Exceptional communication, synthesis, and presentation skills, with the ability to articulate complex findings clearly.

Preferred Skills:

• Prior experience in Product Management or other strategic product roles.

• Hands-on experience integrating AI tools into research workflows, including synthesis, clustering, summarization, and research operations automation.

• Previous work experience in cloud infrastructure, AI platforms, developer tools, or enterprise SaaS environments.

📝 Enhancement Note: The requirement for 6+ years of experience in technical/B2B domains and proficiency with analytics tools suggests the company is looking for a seasoned researcher who can hit the ground running and contribute strategically. The preference for AI tool integration experience highlights Nebius's forward-thinking approach and its core business in AI.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a portfolio demonstrating end-to-end UX research projects, with a clear emphasis on complex B2B or technical products.

• Include case studies that highlight how research insights directly influenced product strategy, design decisions, and led to measurable improvements in user experience or product adoption.

• Detail research methodologies used, including qualitative techniques (interviews, usability tests) and quantitative analysis (analytics data integration).

• Provide examples of how you've translated technical user needs and complex workflows into actionable product recommendations.

Process Documentation:

• Evidence of developing and documenting scalable UX research processes, frameworks, and best practices.

• Examples of how you've integrated qualitative and quantitative data sources to create holistic user understanding.

• Case studies detailing the application of AI tools within research workflows for synthesis, insight generation, or operational efficiency.

• Documentation reflecting collaboration with cross-functional teams (Product, Design, Engineering, Analytics) to embed research findings into product development lifecycles.

📝 Enhancement Note: For a role focused on establishing and scaling research processes, a portfolio that goes beyond individual project execution to demonstrate systematic thinking, process improvement, and strategic impact is crucial. Candidates should be prepared to discuss how they've built research capabilities, not just how they've executed research.

💵 Compensation & Benefits

Salary Range: Given the locations (Amsterdam, Berlin, London), the experience level (6+ years), and the technical domain (AI Cloud Infrastructure), the estimated salary range would be:

• Amsterdam, Netherlands: €75,000 - €110,000 per year

• Berlin, Germany: €70,000 - €105,000 per year

• London, United Kingdom: £70,000 - £105,000 per year

Benefits:

• Competitive compensation package.

• Significant career growth and continuous learning opportunities.

• Emphasis on flexibility and work-life balance.

• A collaborative and innovative company culture.

• The chance to work on impactful AI projects and contribute to cutting-edge technology.

• Exposure to an international environment with talented, global teams.

Working Hours: Standard full-time working hours are expected, likely around 40 hours per week, with flexibility for task completion and focus time.

📝 Enhancement Note: Salary estimates are based on research of UX Researcher roles with 6+ years of experience in these major European tech hubs, considering the specialized nature of AI cloud infrastructure and B2B technical products. These are estimates and actual compensation may vary based on specific experience, negotiation, and company banding. The listed benefits align with typical offerings for tech roles in these regions.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically Cloud Infrastructure and Artificial Intelligence. Nebius is building a full-stack AI cloud platform designed to support developers and enterprises from data and model training through to production deployment, addressing the complexities of large-scale AI/ML infrastructure. This positions them at the forefront of the AI economy, providing essential tools for AI practitioners.

Company Size: 1,500+ employees. This indicates a mature, growing organization that has moved beyond startup phase but still retains a dynamic, engineering-driven culture. For operations professionals, this means established processes but also opportunities for significant impact and process improvement.

Founded: While the founding date isn't explicitly stated, the company was listed on Nasdaq (NBIS) and launched its AI cloud platform in November 2023, indicating a relatively new, rapidly scaling entity with significant investment and ambition. The rapid growth and focus on R&D suggest an environment that values innovation and technical expertise.

Team Structure: The UX Researcher will join the Product Design team. This team likely collaborates closely with Product Management, Engineering, and Analytics. In a company of this size and technical focus, the UX Research function may be nascent or growing, offering the opportunity to shape its direction. Reporting structure is likely to a Head of Product Design or similar leadership role.

Methodology: Nebius emphasizes an "engineers, for engineers" philosophy, focusing on solving complex technical challenges in AI/ML infrastructure. This suggests a data-driven, analytical, and pragmatic approach to product development. The company values ownership, bold thinking, and continuous growth, translating into a culture that encourages innovation and proactive problem-solving.

Company Website: https://careers.nebius.com/

📝 Enhancement Note: The company's focus on AI and its engineering-first ethos are critical context for a UX Researcher. Understanding the technical depth of their products and the user base (developers, ML engineers) will be paramount. The size and rapid growth suggest a dynamic environment where research processes are likely evolving, presenting both challenges and opportunities.

📈 Career & Growth Analysis

Operations Career Level: This UX Researcher role is positioned at a Mid-Senior to Senior level, indicated by the requirement of 6+ years of experience and the responsibility to "establish scalable research processes across the organization." The role is not just about executing research but about architecting and maturing the research function, making it a strategic position.

Reporting Structure: The UX Researcher will report into the Product Design team. This implies a direct line of influence on product design and user experience initiatives. Collaboration will be extensive with Product Management and Engineering, providing broad exposure to the product development lifecycle.

Operations Impact: The impact of this role is significant. By ensuring that complex B2B and technical products are user-centered and effective, the UX Researcher directly contributes to product adoption, user satisfaction, and ultimately, the success and market competitiveness of Nebius's AI cloud platform. Insights from this role will influence product strategy, feature development, and user onboarding, critical for a complex B2B offering.

Growth Opportunities:

• Leadership in Research: Opportunity to build and lead the UX Research function, establish best practices, and mentor junior researchers as the team grows.

• Specialization: Deepen expertise in researching highly technical domains like cloud infrastructure, AI/ML, and developer tools, becoming a subject matter expert.

• Strategic Influence: Grow into a more strategic product role, influencing roadmap decisions based on deep user understanding and market insights.

• Skill Development: Opportunities to learn and apply cutting-edge AI tools within research workflows and stay ahead of industry trends.

• Cross-functional Expertise: Develop a strong understanding of engineering, product management, and data analytics through close collaboration.

📝 Enhancement Note: The role's emphasis on "establishing scalable research processes" points to a significant growth opportunity for someone looking to build and lead a function. The technical domain offers a chance to become a niche expert, which is highly valuable in the current tech landscape.

🌐 Work Environment

Office Type: The role is advertised as "On-site," indicating a preference for in-office work, likely to foster collaboration and team cohesion within the R&D hubs. This suggests a structured work environment with dedicated office spaces.

Office Location(s): The position is available in Amsterdam (Netherlands), Berlin (Germany), and London (United Kingdom). These are major European tech hubs, offering vibrant working environments and access to extensive talent pools.

• Amsterdam: Known for its international business environment and strong tech scene.

• Berlin: A growing hub for startups and tech companies, offering a dynamic and creative atmosphere.

• London: A global financial and tech center with a vast ecosystem of companies and talent.

Workspace Context:

• The workspace will likely be modern and collaborative, designed to facilitate interaction between Product Design, Product Management, and Engineering teams.

• Access to necessary tools and technology for UX research, including analytics platforms, prototyping software, and potentially specialized AI research tools.

• Opportunities for regular interaction with diverse technical teams, fostering a deep understanding of their workflows and challenges.

Work Schedule: A standard full-time work schedule is anticipated, likely with some degree of flexibility in terms of daily hours, common in the tech industry, to support work-life balance.

📝 Enhancement Note: The "On-site" requirement suggests that Nebius values in-person collaboration for its technical teams. Candidates should be prepared for a structured office environment in one of these key European tech cities.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or Recruiter call to assess basic qualifications, experience, and cultural fit.

• Hiring Manager Interview: Deep dive into experience, research methodologies, and understanding of technical/B2B domains.

• Portfolio Review & Presentation: A key stage where candidates present detailed case studies from their portfolio, showcasing end-to-end research projects, process development, and impact. Expect to discuss your approach to complex technical products and stakeholder collaboration.

• Cross-functional Interviews: Meetings with Product Managers, Designers, and Engineers to assess collaboration style, communication skills, and ability to integrate research into product workflows.

• Take-home Challenge (Potentially): A practical exercise to assess research planning, analysis, or synthesis skills, possibly focusing on a simulated technical product scenario.

• Final Interview: Discussion with senior leadership, focusing on strategic thinking, leadership potential in research, and long-term vision.

Portfolio Review Tips:

• Select 3-4 strong case studies that demonstrate your full research lifecycle, from problem definition to impact.

• Prioritize projects involving complex B2B or technical products, highlighting your ability to research niche or expert user groups.

• Clearly articulate the research problem, your methodology (qualitative and quantitative), your role, the insights generated, and the tangible impact on the product or business.

• Showcase how you've contributed to scaling research processes or improving research operations.

• Be prepared to discuss the trade-offs you made, challenges encountered, and lessons learned.

Challenge Preparation:

• If a take-home challenge is provided, thoroughly understand the prompt and allocate time for each section.

• Focus on demonstrating your research planning skills: defining research questions, selecting appropriate methodologies, identifying target users, and outlining an analysis plan.

• For analysis/synthesis tasks, clearly articulate your findings, support them with data (even if simulated), and derive actionable recommendations.

• Practice presenting your findings concisely and persuasively, as if to a cross-functional team.

📝 Enhancement Note: The portfolio review is critical. Candidates must prepare to thoroughly explain how their research directly influenced product outcomes and how they've contributed to the operationalization of UX research within an organization. The emphasis on "scaling research processes" means showcasing experience in building frameworks, not just executing studies.

🛠 Tools & Technology Stack

Primary Tools:

• Web & Product Analytics: Google Analytics, Amplitude, Mixpanel, or similar platforms for analyzing user behavior and product usage data.

• Prototyping & Design Tools: Figma, Sketch, Adobe XD (for reviewing designs and potentially creating low-fidelity prototypes for testing).

• User Research Platforms: Tools for participant recruitment, scheduling, and remote usability testing (e.g., UserTesting.com, Lookback, Maze).

• Survey Tools: SurveyMonkey, Typeform, Google Forms for collecting feedback and quantitative data.

Analytics & Reporting:

• Proficiency in interpreting data from analytics platforms to complement qualitative findings.

• Skills in synthesizing complex data into clear, actionable insights for stakeholders.

CRM & Automation:

• While not primary UX research tools, familiarity with CRM systems (e.g., Salesforce) and marketing automation platforms can provide context for B2B user journeys.

• Experience with tools that facilitate efficient research operations, such as scheduling software or participant databases.

📝 Enhancement Note: The explicit mention of Google Analytics, Amplitude, and Mixpanel indicates a strong need for candidates who can effectively blend qualitative insights with quantitative behavioral data. The integration of AI tools into research workflows is also a key requirement, suggesting an openness to adopting new technologies.

👥 Team Culture & Values

Operations Values:

• Engineering-Driven Innovation: A core value reflecting the company's origin and focus on solving complex technical challenges. Operations professionals are expected to appreciate and contribute to this technical rigor.

• Data-Informed Decision Making: Research findings must be grounded in data and analysis, whether qualitative or quantitative, to drive effective product decisions.

• Ownership & Accountability: Team members are expected to take initiative, drive projects forward, and be accountable for their outcomes, especially in establishing new processes.

• Continuous Growth & Learning: The fast-paced AI industry and Nebius's ambition necessitate a culture of constant learning, adaptation, and skill development.

• Collaboration & Transparency: Working effectively across Product, Design, and Engineering requires open communication and a willingness to share insights and challenges.

Collaboration Style:

• Cross-functional Integration: The UX Researcher will be deeply embedded with Product, Design, and Engineering teams, working collaboratively to define research objectives, interpret findings, and iterate on product solutions.

• Process-Oriented: Given the role's mandate to "establish scalable research processes," a collaborative style focused on building shared frameworks and best practices is essential.

• Feedback-Rich Environment: Expect a culture that encourages constructive feedback to refine research methods, product designs, and overall team effectiveness.

📝 Enhancement Note: The emphasis on an "engineering-first" culture means researchers must be comfortable discussing technical concepts and user needs with highly technical individuals. The value of "ownership" is critical for a role focused on building out a research function.

⚡ Challenges & Growth Opportunities

Challenges:

• Researching Highly Technical Users: Understanding the nuanced needs, workflows, and mental models of developers, ML engineers, and infrastructure specialists can be challenging and requires specialized interviewing and analysis skills.

• Establishing Research Processes: Building scalable research operations from the ground up in a rapidly growing company requires strategic thinking, influence, and the ability to navigate organizational change.

• Integrating AI Tools Effectively: Identifying and implementing AI tools that genuinely enhance research efficiency and insight generation, rather than just being novelties, requires careful evaluation and experimentation.

• Balancing Strategic vs. Tactical Research: Managing the demands of both foundational, strategic research and more immediate, tactical usability testing for complex product development.

• Influencing Stakeholders: Gaining buy-in and driving action on research recommendations within cross-functional teams, particularly in a technically-focused organization.

Learning & Development Opportunities:

• Deep Domain Expertise: Become a recognized expert in UX research for AI cloud infrastructure and developer tools.

• Research Operations Leadership: Develop skills in building and managing research functions, including team scaling, tool selection, and process optimization.

• AI in Research: Gain hands-on experience and thought leadership in applying AI tools to UX research methodologies.

• Cross-functional Acumen: Enhance understanding of product management, engineering processes, and data analytics within a high-growth tech company.

• Industry Engagement: Potential for participation in relevant conferences, webinars, and professional development to stay abreast of UX research and AI advancements.

📝 Enhancement Note: The primary challenge and growth opportunity lie in the dual responsibility of conducting advanced UX research and building the research function itself. This is a chance to make a significant mark on how Nebius approaches user-centric development.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you established or significantly improved a UX research process. What were the key steps, challenges, and outcomes?" (Focus on process building, scalability, and impact.)

• "How do you approach researching highly technical users like developers or ML engineers? What specific methods and techniques are most effective?" (Highlight your understanding of technical user research.)

• "Walk us through a complex B2B product you've researched. What were the main usability challenges, and how did your research inform solutions?" (Prepare a detailed case study from your portfolio.)

• "How do you combine qualitative research findings with quantitative product analytics to create a holistic understanding of user behavior and inform product decisions?" (Be ready to discuss specific tools and methodologies.)

Company & Culture Questions:

• "What interests you specifically about Nebius and our AI cloud platform?" (Research Nebius's mission, products, and recent news.)

• "How do you see UX research contributing to an engineering-led organization like Nebius?" (Align your understanding with their culture.)

• "How do you approach collaborating with Product Managers, Designers, and Engineers on complex technical products?" (Emphasize your cross-functional skills.)

Portfolio Presentation Strategy:

• Structure: For each case study, clearly outline: Problem, Your Role, Methodology, Process, Findings, Recommendations, and Impact (quantified if possible).

• Technical Depth: Be prepared to discuss the technical aspects of the products you've researched and how they influenced your research approach.

• Process Focus: Highlight instances where you improved research efficiency, scalability, or stakeholder buy-in, aligning with the role's requirement to establish processes.

• Conciseness: Deliver your presentation efficiently, allowing ample time for Q&A and discussion.

• Engagement: Be interactive, ask clarifying questions, and demonstrate genuine interest in Nebius's challenges.

📝 Enhancement Note: Interview preparation should heavily focus on demonstrating experience in building and scaling research operations, as well as your ability to conduct research within complex technical domains. Be ready to showcase how your work has directly led to product improvements and strategic impact.

📌 Application Steps

To apply for this UX Researcher position:

• Submit your application through the Nebius careers portal (https://careers.nebius.com/?gh_jid=4866009101).

• Curate Your Portfolio: Select and refine 3-4 of your strongest UX research projects, emphasizing those involving complex B2B or technical products. Ensure each case study clearly details your process, insights, and the tangible impact of your research. Specifically highlight any experience in building or scaling research operations.

• Tailor Your Resume: Optimize your resume to clearly articulate your 6+ years of experience in technical/B2B UX research. Use keywords from the job description (e.g., "qualitative research," "product analytics," "technical users," "B2B," "research operations," "AI tools") and quantify your achievements whenever possible.

• Prepare Your Presentation: Practice presenting your portfolio case studies concisely and compellingly. Focus on explaining your methodology, your role in driving product decisions, and how your research contributed to measurable outcomes. Be ready to discuss your experience with technical users and scaling research processes.

• Research Nebius: Thoroughly understand Nebius's AI cloud platform, its target audience (developers, enterprises), its competitive landscape, and its company values. Prepare thoughtful questions to demonstrate your engagement and 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.