Leads revenue operations by building AI-driven data models and system architecture to predict churn, identify expansion opportunities, and optimize customer health scoring for CS, Services, and Support teams. Requires 5+ years in RevOps/CS Ops with expertise in SQL, Salesforce, BI tools, and predictive analytics.
Strategic Experience: 5+ years in CS Ops, RevOps, or Strategic Analytics within a B2B SaaS environment (Usage-based or Composable software experience is a plus).
Structural Mastery: Proven ability to drive system changes—specifically around Customer Health Scores, Churn Reason coding, and Renewal Management workflows in Salesforce or Planhat.
AI & Predictive Proficiency: Experience evaluating or deploying AI for post-sales, such as predictive churn modeling, NPS sentiment analysis, or AI-driven "Next Best Action" for CSMs.
The Technical Stack:
Strategic Projects: Experience leading LTV/CAC analysis, Renewal pricing strategy, and Services margin optimization.
Education: Bachelor degree in relevant field required. MBA preferred.
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