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About the role
Key responsibilities & impact- Own the platform layer of enterprise accounts — including AI tag configuration, taxonomy structures, filters, dashboards, source enrichment, and the replays and re-categorizations.
- Run the analyses that drive decisions — cohort and subtopic work, anomaly investigations, and trend reports.
- Build the artifacts that go in front of customers, including the technical and data layer of meeting decks.
- Show up in customer-facing moments as the technical voice on the unitQ side.
- Partner cross-functionally with engineering and product to surface ingestion issues, sentiment shifts, and feature requests.
- Contribute to the broader Customer Engagement team through account playbooks, AI-assisted workflow templates, and internal knowledge sharing.
Requirements
What you’ll need- 1–4 years of experience in a technical, analytical, or customer-facing role
- Strong written communication
- Comfort with structured data
- Curiosity about how customer feedback works at scale
- Bias toward producing artifacts
- Service mindset
- Self-driven with the ability to independently manage tasks and projects
- Demonstrated enthusiasm for understanding and applying AI, model-based, and manual solutions to client problems.
Benefits
Comp & perks- Flexible/unlimited vacation
- Comprehensive medical, dental, and vision
- 401(k) plan
- Life insurance and FSA plans
- Stock options
- Equinox gym membership or wellness stipend
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI tag configurationtaxonomy structuresdata analysiscohort analysisanomaly investigationtrend reportingstructured dataartifact creation
Soft Skills
strong written communicationcuriosityservice mindsetself-drivenindependent task management
