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unitQ

Analyzes global feedback for product quality

Customer Engagement Analyst

Customer SuccessConfirmed live in the last 24 hours
Full-timeCalifornia, USA

About the Job

Requirements

  • The candidate should have 1–4 years of experience in a technical, analytical, or customer-facing role, such as customer success, technical support, implementation, customer operations, or data and analytics.
  • The candidate should have strong written communication and be able to translate complex analysis into concise executive-facing writing.
  • The candidate should be comfortable with structured data, spreadsheets, basic SQL or query languages, and learning new analytical tools quickly.
  • The candidate should be curious about customer feedback at scale, including categorization, sentiment measurement, and how text analytics produces business signal.
  • The candidate should be able to produce completed artifacts such as decks, analyses, and configurations.
  • The candidate should have a service mindset and support senior Customer Engagement Managers and customer-side teams.
  • The candidate should be self-driven and able to independently manage tasks and projects.
  • The candidate should demonstrate enthusiasm for understanding and applying AI, model-based, and manual solutions to client problems.

Responsibilities

  • Own the platform layer of enterprise accounts, including AI tag configuration, taxonomy structures, filters, dashboards, source enrichment, replays, and re-categorizations that keep the platform current with customer needs.
  • Run cohort and subtopic analyses, anomaly investigations, and trend reports that support QBRs, executive briefings, and renewal narratives.
  • Build customer-facing artifacts, including the technical and data layers of meeting decks for QBRs, executive steerings, and POC checkpoints.
  • Join customer working sessions, train end-users, and handle first-line technical questions as the technical voice on the unitQ side.
  • Partner with engineering and product to surface ingestion issues, sentiment shifts, and feature requests from accounts, translating customer needs into actionable information for engineering.
  • Contribute account playbooks, AI-assisted workflow templates, and internal knowledge sharing to the Customer Engagement team.

Desired Qualifications

  • Prior experience with feedback platforms such as Qualtrics, Medallia, or Zendesk; survey design; or text analytics.
  • Prior experience or knowledge of AI tools, MCP, LLM-based workflows, or machine learning.
  • Prior experience working at a technology company or in a start-up environment.
  • Exposure to enterprise SaaS or B2B environments with long-term customer relationships.

About the Company

unitQ

Analyzes global feedback for product quality

unitQ provides a software platform that collects and analyzes customer feedback from multiple channels and languages to help teams improve product quality and customer experience. It scans sources such as App Store reviews, Zendesk tickets, Reddit, and Twitter using machine learning to filter out noise and surface actionable bugs and issues. This enables companies to identify problems quickly, push fixes, and reduce customer churn. The business operates on a subscription model, offering ongoing access to unitQ Monitor, which turns global feedback into timely insights that guide product enhancements and customer retention strategies.

Company size
11-50
Company stage
Series B
Total funding
$41M
Headquarters
San Francisco, CA
Founded
2018

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