Job Overview
Location
United States
Job Type
Full-time
Category
Data & Analytics
Date Posted
April 8, 2026
Full Job Description
đź“‹ Description
- • The Customer Intelligence Engineer builds scalable intelligence workflows that help Seeq’s Customer Success organization act earlier, smarter, and more strategically by transforming raw customer data into actionable insights.
- • Day to day, the role involves designing and deploying account-level Slack summaries for CSMs and leadership, translating product usage and contract data into operational signals, building or extending data pipelines with Analytics Engineering, and developing Python-based automation to operationalize insights at scale.
- • The role sits within Customer Success at Seeq Corporation, operating at the intersection of product usage analytics, customer health modeling, workflow automation, and applied AI, supporting a mission to improve health and renewal predictability through data-driven insights.
- • The person in this role will learn to apply AI and modern tooling, contribute to customer health scoring frameworks, develop usage-to-renewal correlation models, and partner cross-functionally with CSMs and engineering teams to elevate development practices and feed product insights back into the organization.
Skills & Technologies
About Seeq Corporation
Seeq is a software company that provides advanced analytics for manufacturing and industrial operations. Their platform enables users to rapidly analyze time-series data from various sources, such as historians, IoT devices, and databases. Seeq's solution helps organizations improve operational efficiency, identify production issues, and optimize processes through powerful visualization, data cleansing, and machine learning capabilities. They serve industries like oil and gas, power generation, pharmaceuticals, and chemicals, empowering engineers and data scientists to gain deeper insights and make data-driven decisions to enhance performance and reduce costs.
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