Revenue Operations Lead optimizing subscription sales, forecasting, and Salesforce processes for S&P Global’s 451 Research technology intelligence business.
Responsibilities
Own Revenue Operations end-to-end for the 451 Research business line
Manage a multi-million-dollar renewable book across 10–15 deals per month
Oversee pipeline reporting, deal operations, revenue tracking, and go-to-market execution
Run the deal desk, including review of non-standard terms, discount requests, and T&C redlines
Manage approval flows and structure deals with ASC 606 / IFRS 15 requirements in view
Build and maintain Salesforce reports and dashboards for pipeline reviews, forecast calls, renewal tracking, and closed-lost analysis
Prepare product-level revenue forecasts and performance analyses
Recommend price uplifts using channel and package-level data
Manage product and price book data for Salesforce loading
Track and report NRR and GRR metrics for the renewable book
Provide sales and finance leadership with visibility into renewal health, churn risk, and subscription performance
Serve as Salesforce SME and superuser
Support migrations, datacenterHawk integration, and UAT for revenue technology initiatives including AI-assisted CPQ processing
Requirements
3–5 years of experience in Revenue Operations or Sales Operations within a B2B SaaS, technology research, data, or information services environment
Accountability for commercial operations outcomes
Ability to build Salesforce reports and dashboards
Experience managing structured pipeline data across Salesforce Account, Contact, Opportunity, Quote, and Deal objects
Working knowledge of ASC 606 / IFRS 15 revenue recognition principles
Ability to build and maintain product-level revenue forecasts, NRR/GRR tracking models, and subscription performance analyses
Ability to collaborate across Sales, Finance, Legal, Product, IT, and Order Management
Bachelor's degree in Business Administration, Finance, Economics, or a closely related discipline (preferred)
Experience with deal desk operations
Experience with CPQ tools and AI-assisted commercial processing workflows
Experience supporting CRM platform migrations or system integrations
Experience managing Salesforce product catalogue and price book data
Experience executing UAT cycles for CRM or revenue technology implementations
Prior experience in technology research, enterprise IT data, or market intelligence
Benefits
Health care coverage designed for the mind and body
Generous time off
Continuous learning and career development resources
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