AI Customer Insights Engineer
Builds customer intelligence workflows that turn product usage, engagement, and contract data into actionable insights for Customer Success. The role requires strong Python and SQL skills, a bachelor's degree, and an interest in applied AI, automation, and predictive customer health modeling.
About the job
Responsibilities
- Design and deploy account-level Slack summaries for customer success managers and leadership.
- Translate product usage and contract data into operational signals.
- Build or extend data pipelines with Analytics Engineering.
- Develop Python-based automation to operationalize insights at scale.
- Contribute to the customer health scoring framework.
- Develop usage-to-renewal correlation models.
- Identify leading indicators of risk, expansion, and adoption.
- Iterate based on predictive lift and Customer Success feedback.
- Use AI-first coding workflows and build lightweight LLM-driven synthesis workflows where valuable.
- Partner with customer success managers to understand decision workflows.
- Collaborate with Analytics Engineers on data modeling and structure.
- Feed product insights back to engineering through internal dogfooding.
Requirements
- Bachelor's degree in Chemical, Mechanical, Electrical, Industrial, Systems Engineering, Computer Science, Applied Math, Data Analytics, or a related field.
- 0–3 years of experience, including internships, 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 such as Power BI.
- Familiarity with product analytics platforms such as Mixpanel.
- Experience building Slack automations or APIs.
- Exposure to modern data pipelines such as Azure Data Factory.
- Curiosity about customer behavior and causal mechanisms.
Compensation & Benefits
- $115,000 USD base salary plus variable compensation.
- 12-week paid family leave.
- Unlimited PTO.
- Internet and mobile phone reimbursements.
- Medical benefits.
- Group term life insurance.
- Short- and long-term disability insurance.
- Voluntary vision and dental coverage, including orthodontia.
- Vacation bonus program.
- Employee Assistance Program.
- Generous home office allowance.
Skills
Python, SQL, Data Modeling, LLMs, Ai-Assisted Development, Slack Automation, APIs, Power BI, Mixpanel, Azure Data Factory, Data Pipelines, Customer Health Scoring, Correlation Modeling, Product Usage Analytics
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