Senior UX Researcher AI

We’re looking for a Senior UX Researcher to join our UX Research Program and Practice team and work at the intersection of user research, data science, and AI-augmented research. This is not a traditional generalist research role. You’ll split your time across four distinct workstreams: developing and evaluating AI-driven research tools, analyzing participant data to strengthen recruitment quality, building a structured, machine-readable research repository, and conducting mixed-methods research (including benchmarking and UX measurement). 

What you will do:

• AI research tooling development

  • Contribute to a shared repository of AI-driven UX research tools that augment and scale the research workflow. 

  • Design evaluation rubrics for AI output quality – assessing AI-generated research artifacts for things like accuracy, tone, bias, and interpretive validity. 

  • Iterate on tools based on measurable performance criteria, balancing automation with methodological rigor. 

  • Integrate research tooling into the software development lifecycle (SDLC)

• Participant database and recruitment strategy 

  • Query and analyze the existing participant database (SQL, R, or Python) to identify sampling biases, demographic gaps, and representation issues. 

  • Develop data-driven recruitment strategies that address identified gaps.

  • Design and validate surveys and screening instruments to qualify participants. 

  • Report findings accurately using statistical methods appropriate to the data types involved. 

• Structured research repository

  • Transform qualitative and quantitative research data into atomic, structured units suitable for cross-system consumption. 

  • Define and maintain the schema and taxonomy that make qualitative findings machine-readable and queryable. 

  • Enable downstream systems (AI tools, dashboards, cross-functional workflows) to leverage research findings without manual retrieval. 

  • Ensure data quality and consistency standards across the repository.

• Mixed-methods research 

  • Conduct research using existing data sources – survey backlogs, customer feedback repositories, support tickets, prior study findings – to surface patterns and generate new insights. 

  • Design and execute UX benchmarking studies using standardized instruments to establish baselines and measure change over time. 

  • Pair qualitative findings with behavioral analytics or benchmark data to triangulate insights and strengthen evidence. 

What you will bring:

• 5+ years conducting mixed-methods UX research (qualitative and quantitative) in an enterprise product development environment.

• Bachelor's degree in a technical or human-centered field (e.g., HCI, Data Science, Information Systems, Computer Science, Psychology) or equivalent practical experience.

• Demonstrated ability to navigate complex, ambiguous projects and adapt methods in response to new information or changing conditions.

• Experience developing, evaluating, and using AI/LLM-based tools in a research context and think carefully about reliability and failure modes. 

• Proficiency querying and analyzing large datasets using SQL, R, or Python.   

• Statistical analysis fluency – ability to select and apply methods appropriate to the data type and report findings with confidence.          

• Survey and screener design with attention to sampling validity; proficient in Qualtrics.    

• Experience building or contributing to research repositories, taxonomies, or knowledge management systems 

• Strong understanding of research ethics, particularly participant privacy, data handling, and bias mitigation      

• Experience with secondary analysis— synthesizing findings across multiple existing studies, surveys, or feedback channels.         

Following is considered a plus:

• Comfort working in code repositories and collaborating with engineering teams (Git, Markdown, CLI tools) 

• Prompt engineering, evaluation frameworks, or AI output quality assessment experience.  

• Experience with frameworks like Jobs to Be Done, mental models, or similar approaches to structuring qualitative insights

• Experience with UX metrics programs — defining KPIs, tracking longitudinal benchmarks, reporting to stakeholders

• Foundational understanding of RAG pipelines with vector stores, chunking strategies, and embedding models

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. 

About Red Hat

Red Hat is the world’s leading provider of enterpriseopen source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Benefits●    Comprehensive medical, dental, and vision coverage●    Flexible Spending Account - healthcare and dependent care●    Health Savings Account - high deductible medical plan●    Retirement 401(k) with employer match●    Paid time off and holidays●    Paid parental leave plans for all new parents●    Leave benefits including disability, paid family medical leave, and paid military leave●    Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more! 

Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States. 

Inclusion at Red HatRed Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

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