Key skills
PythonSQLRAILLMRepositoryCommunication
About this role
Role Overview
- Contribute to a shared repository of AI-driven UX research tools that augment and scale the research workflow.
- Assist with evaluating AI output quality – assessing AI-generated research artifacts for accuracy, tone, bias, and interpretive validity.
- Query and analyze the existing participant database (SQL, R, or Python) to identify sampling biases, demographic gaps, and representation issues.
- Manage and improve recruitment infrastructure– participant panels, scheduling workflows, tooling, templates.
- Maintain and evolve the team’s standards and best practice documentation.
- Partner with the Senior Researcher to build and maintain a structured research insights repository.
- Conduct primary research as part of ongoing research programs (benchmarking, UX measurement, continuous interviews).
- Conduct research using existing data sources – survey backlogs, customer feedback repositories, support tickets, prior study findings – to surface patterns and generate new insights.
Requirements
- Bachelor’s degree in a relevant field (HCI, Psychology, Information Science, Social Sciences) or equivalent practical experience.
- 2+ years of experience conducting mixed-methods UX research (qualitative and quantitative).
- Strong foundational knowledge of UX research methods — qualitative and quantitative — even though this role isn't conducting studies day-to-day.
- Experience with participant management, tooling, templates, or program coordination.
- Ability to review and give constructive feedback on research plans, guides, and deliverables.
- Organizational skills to manage taxonomies, repositories, and documentation at scale.
- Strong communication skills — can train, advise, and influence researchers and cross-functional partners.
- Exceptional writing and documentation skills, with the ability to translate complex methodologies into simple, enforceable criteria.
- Attention to detail and a quality mindset — you notice when a screener has leading questions or a report buries the key finding.
- Plus: Experience building or maintaining a research repository or knowledge management system.
- Experience developing research training programs or onboarding materials.
- Exposure to AI/LLM-based research tools or interest in how automation can support research workflows.
- Experience working in enterprise or B2B product environments.
Tech Stack
- Python
- 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!