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.

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.

UX Researcher

Key skills