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

The AI Customer Insights Engineer builds scalable intelligence workflows that help Seeq’s Customer Success organization act earlier, smarter, and more strategically.

This role sits within Customer Success and operates at the intersection of product usage analytics, customer health modeling, workflow automation, and applied AI. The mission is to transform raw customer data—usage, engagement, and contract signals—into actionable insights delivered to the right people at the right time.

This is an early-career, high-potential role ideal for an engineering graduate or former process engineer pivoting into analytics and software.

Key Duties & Responsibilities:

Build Customer Intelligence Workflows

• Design and deploy account-level Slack summaries for CSMs and leadership.
• Translate product usage and contract data into operational signals.
• Build or extend data pipelines in partnership with Analytics Engineering.
• Develop Python-based automation to operationalize insights at scale.

Improve Health & Renewal Predictability

• Contribute to Seeq’s customer health scoring framework.
• Develop usage-to-renewal correlation models.
• Identify leading indicators of risk, expansion, and adoption.
• Iterate based on measurable predictive lift and CS feedback.

Apply AI and Modern Tooling

• Leverage AI-first coding workflows to accelerate development.
• Build lightweight LLM-driven synthesis workflows where valuable.
• Help elevate development practices across Customer Success.

Partner Cross-Functionally

• Work directly with CSMs to understand real decision workflows.
• Collaborate with Analytics Engineers on modeling and data structure.
• Feed product insights back into engineering through internal dogfooding.

Requirements

• Bachelor’s degree in Chemical, Mechanical, Electrical, Industrial, Systems Engineering, Computer Science, Applied Math, Data Analytics, or related field.
• 0–3 years of experience (internships included) in analytics, engineering, or technical roles.
• 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.

Preferred Qualifications

• Background in process manufacturing or industrial engineering.
• Exposure to BI tools (e.g., PowerBI).
• Familiarity with product analytics platforms (e.g., Mixpanel).
• Experience building Slack automations or APIs.
• Exposure to modern data pipelines (e.g., Azure Data Factory).
• Demonstrated curiosity about customer behavior and causal mechanisms.

Seeq is a remote-first (only) company founded by serial entrepreneurs. Our executive team and board of directors have extensive experience with successful startup ventures in high-growth environments.

We are founded on the idea that companies need better solutions for quickly and easily getting business insight from their industrial process data. Our mission is to provide software and services that convert that data into meaningful information that the business can use to improve profitability.

We have a wonderful, kind-hearted, talented team that loves to collaborate, lead by example, and exceed our customers’ expectations. We are certified as a great place to work, an emerging startup, the Technology Fast 500, and Inc. Magazine's Best Places to Work.

The Perks of Working at Seeq

• Competitive salary plus bonus incentives
  • $115,000 USD base salary plus variable
• Benefits:
  • 12-week paid Seeq family leave
  • Unlimited PTO
  • Internet and mobile phone reimbursements
  • Medical benefits
  • Group term life insurance
  • Short-term and long-term disability insurance pre-tax benefits
  • Voluntary vision and dental (ortho)
  • Vacation bonus program
  • Employee Assistance Program
  • Generous home office allowance
  • The best co-workers (we've analyzed the data, so we know it's true.)
  • Pet-friendly workspace (your dog will be so happy to have you home)
  • You love your job!

Seeq provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics.

You must be authorized to work in the country in which you reside. Seeq does not sponsor US F1 or H-1B work visas