unitQ

Technology

CustomerEngagementAnalyst

$80–130k San Jose, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Customer Engagement Analyst at unitQ. Skills: Customer Engagement, Data Analysis, Platform Configuration. Own the platform layer of enterprise accounts. Configure AI tag”

Industry & Context.

Technology
Problems you'll solve

Anomaly investigations; Troubleshooting technical questions

What They're Looking For.

Must Have

1-4 years of experience in a technical, analytical, or customer-facing role, Comfort with structured data, Ability to learn new analytical tools quickly, 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

Nice to Have

Prior experience with feedback platforms, Prior experience or knowledge of AI tools, Prior experience working at a technology company or start-up environment, Exposure to enterprise SaaS or B2B environments

What You'll Do.

Own the platform layer of enterprise accounts

Manage taxonomy structures

Perform source enrichment

Handle replays and re-categorizations

Run analyses that drive decisions

Perform cohort and subtopic work

Investigate anomalies

Generate trend reports

Build artifacts for customers

Create technical and data layer of meeting decks

Serve as technical voice on unitQ side

Join working sessions

Handle first-line technical questions

Partner with engineering and product

Surface ingestion issues

Surface sentiment shifts

Surface feature requests

Translate customer needs into action

Contribute to Customer Engagement team

Develop account playbooks

Create AI-assisted workflow templates

Share internal knowledge

How You'll Work.

Team & Collaboration

Customer Engagement Managers; Engineering team; Customer-side stakeholders; Senior leadership; Cross-functionally with engineering and product

Communication Scope

Written communication; Executive presentations

Full Job Description

## Description About unitQ At unitQ, we leverage AI and advanced analytics to enable businesses to proactively monitor and improve product quality based on real-time user feedback from both public and private channels. Backed by leading investors such as Zendesk, Accel, and Google, and following our recent Series B-1, unitQ serves world-class clients, including Pinterest, PayPal, and Dropbox. Our mission is to help companies of all sizes deliver exceptional product experiences, optimize operational efficiency, and drive sustainable growth through continuous product quality improvement. About the Opportunity We're looking for a Customer Engagement Analyst to join our Customer Engagement team and become the technical and analytical backbone behind some of unitQ's largest enterprise accounts. This is the on-ramp into our Customer Engagement Manager (CEM) track — an early-career role designed for someone who wants to build a career in enterprise customer success and is willing to start by becoming exceptional at the craft: configuring the unitQ platform, running the analyses, building the artifacts, and learning how enterprise companies actually use customer signal at scale. You will work alongside our most senior Customer Engagement Managers, supporting accounts that operate at executive altitude. The work is technical, analytical, and consequential.  You should be goal-oriented, highly organized, and a self-starter who works well independently or in a team environment. You will work closely with Customer Engagement Managers, our engineering team, and customer-side stakeholders ranging from analysts to senior leadership. Role Responsibilities Own the platform layer of enterprise accounts — including AI tag configuration, taxonomy structures, filters, dashboards, source enrichment, and the replays and re-categorizations that keep the platform reflecting the most current customer reality. Run the analyses that drive decisions — cohort and subtopic work, anomaly investiga

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