Pricing Architect - SaaS- Subscription Billing Expert

Shrive Technologies LLC
•$100 - $100•Remote

About The Position

We are seeking a highly skilled Pricing Architect with expertise in SaaS and subscription billing to join our team. This remote position requires a deep understanding of SaaS finance, including subscription mechanics, ARR definitions, LPP metrics, and renewal pricing strategies. The ideal candidate will be adept at interpreting complex software licensing agreements, meticulously tracking pricing data across multiple systems, and performing advanced data modeling. You will be responsible for solving complex edge-case scenarios related to pricing calculations.

Requirements

  • Deep understanding of subscription mechanics, standardized ARR definitions, and external ARR reporting.
  • Comprehensive knowledge of best practices for managing ARR and LPP metrics, including renewal pricing, as well as the impacts of pull-forwards and consolidations.
  • Skilled in parsing complex software licensing agreements to verify specific renewal caps and terms.
  • Exceptional detail orientation with a focus on tracking exact LPP across multiple legacy systems.
  • High proficiency in SQL and Excel (including Power Query and complex financial modeling) to manipulate large datasets.
  • Hands-on experience extracting historical pricing using Salesforce CRM, CPQ tools, and Oracle ERP.
  • Strong capability in accurately calculating mid-cycle prorations, upgrades, contractions, and churn.
  • Strong consulting and functional experience (not developer).

Responsibilities

  • Understand subscription mechanics, standardized ARR definitions, and external ARR reporting.
  • Manage Last Price Paid (LPP) metrics for renewals, including the impacts of pull-forwards and consolidations.
  • Interpret complex software licensing agreements to verify specific renewal caps and terms.
  • Track exact LPP across multiple legacy systems with meticulous attention to detail.
  • Perform advanced data modeling using SQL and Excel (including Power Query and complex financial modeling) to manipulate large datasets.
  • Extract historical pricing data using Salesforce CRM, CPQ tools, and Oracle ERP.
  • Accurately calculate mid-cycle prorations, upgrades, contractions, and churn.
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