Vice President of Revenue Operations (SaaS/Data Licensing Exp. Required)

What you'll do

• Own end-to-end revenue operations strategy, including forecasting, pipeline management, and revenue recognition across multiple business lines
• Design and implement scalable processes for SaaS subscription models and data licensing agreements
• Lead cross-functional initiatives to drive revenue growth, retention, and expansion
• Establish and maintain revenue reporting frameworks, KPIs, and executive dashboards
• Architect sophisticated lead routing, allocation, and reassignment processes to maximize conversion rates
• Implement advanced lead scoring models and territory management strategies
• Design and optimize marketing-to-sales handoff processes and service level agreements
• Build comprehensive pipeline forecasting models with scenario planning capabilities
• Evaluate, implement, and optimize AI-powered tools for lead qualification, scoring, and routing
• Drive automation initiatives across CRM, marketing automation, and sales enablement platforms
• Leverage machine learning for predictive analytics and revenue forecasting
• Champion adoption of AI-driven insights to improve SDR productivity and sales performance

Requirements

• 8+ years of progressive experience in revenue operations, sales operations, or marketing operations
• Proven track record in SaaS and data licensing business models with deep understanding of recurring revenue metrics
• Extensive experience with sales and marketing pipeline management, including lead allocation and routing strategies
• Demonstrated expertise in implementing AI and automation solutions for revenue operations
• Strong background in SDR operations, lead management, and sales development processes
• Advanced proficiency in CRM platforms (Salesforce preferred), marketing automation tools, and analytics platforms
• Expert-level skills in forecasting, pipeline analysis, and revenue reporting
• Experience building and leading high-performing teams
• Strong analytical and problem-solving abilities with comfort in data-heavy environments
• MBA or advanced degree in Business, Analytics, or related field (preferred)
• Experience with enterprise B2B sales cycles and complex deal structures (preferred)
• Background in data monetization and licensing models (preferred)
• Proficiency in SQL, Python, or other analytical programming languages (preferred)
• Experience with modern revenue operations tools and emerging AI/ML platforms (preferred)
• Track record of driving significant revenue growth and operational efficiency improvements (preferred)

Tech stack

Benefits