Company Introduction
We are seeking an execution-focused research partner to help keep customer research and related team work moving forward.
Role Summary / Purpose
This person will complement senior team members'' qualitative research and stakeholder-management strengths by bringing reliable follow-through, strong organization, technical curiosity, and clear communication.
Key Responsibilities
- Coordinate research activities such as recruiting, scheduling, participant communications, consent, incentives, session setup, recording, transcription, file organization, and study closeout
- Review existing research and other evidence across tools and repositories; identify what''s useful or missing and share concise findings and implications
- Support research sessions through preparation, note-taking, observation, probing, tagging, synthesis, and clear reporting
- Manage several well-scoped tasks or workstreams at once, making priorities and capacity visible
- Keep useful learning from projects in reusable guides, templates, checklists, prompts, repository entries, or process improvements
- Explore and document new tools and workflows, including AI-assisted approaches, with appropriate care for output quality and risks
Requirements - Education & Experience
- 2-5 years of experience as a UX Researcher
- A solid foundation in qualitative research execution with room to continue developing moderation skills and research judgment
Required Skills
- Proactive, concise communication: shares progress, next steps, blockers, and questions without needing to be chased
- Collaborative, low-ego approach with dependable ownership and willingness to support both visible and behind-the-scenes work
- Strong organization, attention to detail, and reliable follow-through
- Comfort with desk research, reviewing evidence, and turning findings into useful summaries
- Ability to learn tools such as Dovetail, Figma, Miro, Excel, Teams, transcripts, survey tools, and research repositories
- IT, data science, or similarly technical background, or demonstrated technical aptitude with an interest in helping the team navigate AI integrations through APIs and MCPs
- Familiarity with quantitative data gathering and analysis, such as working with surveys or structured data, organizing results, and identifying basic patterns
Nice-to-Have / Preferred Skills
- Quantitative testing experience
- Familiarity with AI integration methods like APIs and MCPs
Employment Details - Type, Location, Hours
Hybrid position, 4 days per week onsite.
Growth & Development Opportunities
This role offers room to continue developing moderation skills and research judgment while learning new tools and workflows in a collaborative environment.
Equal Opportunity Statement
We are an equal opportunity employer committed to building a diverse and inclusive team.