AI-Driven Revenue Operations Leader

Tulip Interfaces; United States; On-site; USD 170,000 - 230,000; Full time

Benefits offered by this job

Flexible work policies

Unlimited vacation policy

Commuter benefits

Work-from-home stipend

Fitness subsidies

Healthcare

Dental

Vision

Short-term Disability

Long-term Disability

Parental Leave

401K & Life Insurance

Job summary

Tulip Interfaces is seeking a senior leader to own the data models, architecture, and AI-driven insights powering our Customer Success, Professional Services, and Support teams.

You will build models to identify at-risk customers, uncover cross-sell opportunities, and advance Health Score 2.0 to enable automated CS playbooks. You will also drive retention metrics and renewal forecasting across global accounts.

Qualifications

• 8–10+ years in CS Ops, RevOps, or Strategic Analytics within a B2B SaaS environment.
• Experience leading LTV/CAC analysis, Renewal pricing strategy, and Services margin optimization.
• Proven ability to drive system changes—CS Health Scores and Renewal workflows in Salesforce or Planhat.

Responsibilities

• Own data models, system architecture, and AI-driven insights for CS, PS, and Support.
• Build AI models to identify At-Risk customers using usage, support, and engagement data.
• Develop models to find cross-sell/upsell opportunities in accounts.
• Architect Health Score 2.0 with clean data for automated CS playbooks.
• Streamline renewals with automated forecasting for churn and contraction risks.
• Own Retention Dashboard with real-time NRR and GRR metrics.

Skills

CS Operations

RevOps

Strategic Analytics

SaaS

SQL

Excel/Sheets

Tableau

Power BI

Churn modeling

NPS sentiment

Data architecture

LTV/CAC analysis

Education

Bachelor's degree

MBA preferred

Tools

Salesforce

Planhat

Sigma

Tableau

Power BI

Excel

Job description

Tulip Interfaces is seeking a senior leader to own the data models, architecture, and AI-driven insights powering our Customer Success, Professional Services, and Support teams.

You will build models to identify at-risk customers, uncover cross-sell opportunities, and advance Health Score 2.0 to enable automated CS playbooks. You will also drive retention metrics and renewal forecasting across global accounts.