Revenue Intelligence Operations Manager, Renewals

United StatesFull-TimeManager
Salary not disclosed
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Job Details

Experience
5–8+ years
Required Skills
SalesforceCRMData analytics

Requirements

  • 5–8+ years of experience in Revenue Operations, Sales Operations, Customer Success Operations, or related fields.
  • Strong understanding of renewals, retention metrics, SaaS revenue models, and subscription lifecycle dynamics.
  • Experience building and managing KPI frameworks, forecasting models, and operational dashboards.
  • Proficiency with CRM and analytics tools (e.g., Salesforce, BI platforms, or equivalent systems).
  • Strong analytical and problem-solving skills with the ability to translate data into business insights.
  • Experience working cross-functionally across Sales, Customer Success, Finance, and Support teams.
  • Ability to manage multiple stakeholders and drive alignment in a matrixed organization.
  • Strong communication skills with the ability to present insights to executive audiences.
  • Familiarity with AI-driven tools or automation in revenue operations is a strong plus.

Responsibilities

  • Act as a strategic operations partner to Renewals leadership, supporting executive reporting, planning cycles, and performance reviews.
  • Own and optimize the renewals operating model, including KPIs, forecasting signals, and cadence of business reviews.
  • Improve seller workflows and productivity by reducing operational friction and enhancing customer engagement efficiency.
  • Drive cross-functional alignment across Sales, Customer Success, Support, Professional Services, and Finance.
  • Lead change management initiatives to ensure adoption of new tools, processes, and operational standards globally.
  • Leverage data analytics and AI-driven insights to improve renewal predictability and identify churn or expansion opportunities.
  • Build scalable reporting frameworks that translate complex data into actionable executive insights.
  • Partner with systems and data teams to improve automation, tooling, and operational scalability.
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