Senior UX Researcher – AI

Role Overview

• 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)
• 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.
• 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.
• 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.

Requirements

• 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.

Tech Stack

• Python
• SDLC
• SQL

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!