Revenue Operations Lead - Salesforce & Q2C Optimization

Avalara

United States

On-site

USD 180,000 - 240,000

Full time

2 days ago
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Job summary

Avalara is seeking a seasoned Senior Manager, Revenue Operations to optimize CRM and CPQ systems, lead Q2C process improvements, and drive data-driven decision making. This role partners with Revenue Strategy, IT, Finance, and Sales to deliver scalable, automated solutions in a fast-paced SaaS environment.

The candidate will shepherd system enhancements, governance, and integrations—empowering accurate forecasting and global data quality—while exploring AI-enabled tools for smarter operations.

Qualifications

  • Deep Salesforce administration and CPQ expertise.
  • Experience integrating ERP and billing systems.
  • Proven success in leading system enhancement projects.
  • Strong understanding of Q2C processes and SaaS revenue models.
  • Excellent cross-functional collaboration and communication.

Responsibilities

  • Own vision and roadmap for CRM and CPQ to drive efficiency.
  • Collaborate with IT, Sales, and Finance to deliver enhancements.
  • Improve CRM architecture and data quality across global teams.
  • Optimize end-to-end Q2C lifecycle from lead to renewals.
  • Lead automation initiatives to improve data flow between Salesforce, CPQ, billing, and ERP.
  • Evaluate new technologies like AI tools to boost forecasting and efficiency.

Skills

Salesforce admin
CPQ expertise
Q2C processes
Leadership
Data-driven decision making
Cross-functional collaboration
Communication skills

Tools

Jira
Confluence
Salesforce Einstein
ERP integration
N8N

Job description

Avalara is seeking a seasoned Senior Manager, Revenue Operations to optimize CRM and CPQ systems, lead Q2C process improvements, and drive data-driven decision making. This role partners with Revenue Strategy, IT, Finance, and Sales to deliver scalable, automated solutions in a fast-paced SaaS environment.

The candidate will shepherd system enhancements, governance, and integrations—empowering accurate forecasting and global data quality—while exploring AI-enabled tools for smarter operations.

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