Remote AI Customer Insights Engineer

Seeq; Northern (KY); Hybrid; USD 110,000 - 125,000; Full time

Benefits offered by this job

12-week paid Seeq family leave

Unlimited PTO

Internet and mobile reimbursement

Medical benefits

Group life insurance

Disability insurance (pre-tax)

Job summary

Seeq is seeking an AI Customer Insights Engineer to design scalable intelligence workflows for the Customer Success organization. You will transform raw usage and contract signals into actionable insights, partnering with Analytics Engineering to deploy data pipelines, and building Python-based automation to scale outputs.

This early-career role targets engineering graduates or process-engineering pivots into analytics and software, with strong SQL, Python, data modeling familiarity, and

Qualifications

• Bachelor’s degree in engineering, CS, math, data analytics, or related field.
• 0–3 years in analytics, engineering, or technical roles (internships included).
• Working knowledge of SQL.
• Strong Python skills.
• Exposure to data modeling concepts.
• Familiarity with LLMs or AI-assisted development tools.
• Comfort operating in ambiguity.
• Strong written communication skills.

Responsibilities

• Build Customer Intelligence Workflows by translating usage and contract data into actionable signals.
• Improve health and renewal predictability with health scoring and usage-to-renewal insights.
• Apply AI and modern tooling to accelerate development and create synthesis workflows.
• Partner cross-functionally with CSMs and Analytics Engineers to align data and modeling with product insights.

Skills

SQL

Python

Data modeling

LLMs / AI tools

Written communication

Ambiguity tolerance

Education

Bachelor's degree in Engineering, CS, Applied Math or related field

Tools

PowerBI

Mixpanel

Job description

Seeq is seeking an AI Customer Insights Engineer to design scalable intelligence workflows for the Customer Success organization. You will transform raw usage and contract signals into actionable insights, partnering with Analytics Engineering to deploy data pipelines, and building Python-based automation to scale outputs.

This early-career role targets engineering graduates or process-engineering pivots into analytics and software, with strong SQL, Python, data modeling familiarity, and