UX Researcher

About the role

We are looking for an experienced UX Researcher to join our Product Design team and help establish scalable research processes across complex B2B and technical products. In this role, you will work closely with product managers, designers, engineers, and analytics teams to drive product decisions through qualitative research, behavioral data, and actionable insights. You will help shape research practices across the organization, improve decision-making processes, and support the development of technically complex user experiences.

Responsibilities

• Conduct end-to-end UX research for complex B2B and technical products.
• Plan and lead qualitative research with technical users such as developers, DevOps engineers, ML engineers, enterprise administrators, and other infrastructure-focused audiences.
• Collaborate closely with Product Design, Product Management, Engineering, and Analytics teams to influence product strategy and UX decisions.
• Lead usability testing, user interviews, workflow analysis, and concept validation for complex product flows and technical interfaces.
• Combine qualitative research with web and product analytics to identify behavioral patterns, validate hypotheses, and support data-informed product decisions.
• Work with analytics platforms such as Google Analytics, Amplitude, Mixpanel, or similar tools to analyze user behavior and product usage.
• Support usability improvements for technically complex interfaces with large information density and advanced configuration workflows.
• Build scalable UX research processes, frameworks, and best practices across the organization.
• Integrate modern AI tools into research workflows to improve synthesis, insight generation, participant analysis, and operational efficiency.
• Present research findings and recommendations clearly to both technical and non-technical stakeholders.
• Required qualifications:
• 6+ years of UX research experience in technical or B2B products.
• Strong experience with web and product analytics tools, and the ability to use behavioral data to support product decisions.
• Experience researching complex technical domains such as cloud platforms, developer tools, infrastructure products, AI/ML systems, or enterprise SaaS.
• Strong qualitative research skills, including conducting interviews and usability studies with technical users.
• Experience combining qualitative and quantitative research methods.
• Ability to influence stakeholders and work cross-functionally across Product, Design, Engineering, and Analytics teams.
• Experience building or scaling research operations and processes within growing organizations.
• Understanding of modern AI tools and their application in research workflows.
• Experience working with technical audiences such as infrastructure engineers, ML practitioners, DevOps engineers, or enterprise administrators.
• Strong communication, synthesis, and stakeholder management skills.
• Fluent English communication skills.

Requirements

• Previous experience in Product Management or other strategic product roles.
• Experience integrating AI tools into research workflows, including synthesis, clustering, summarization, and research operations.
• Experience working in cloud infrastructure, AI platforms, developer tools, or enterprise SaaS environments.
• About Nebius
• Nebius's headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East.
• Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track re

Additional Information

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

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