Revenue Operations Lead - Salesforce & Q2C Optimization

Avalara; United States; In loco; USD 180.000 - 240.000; Tempo pieno

Descrizione del lavoro

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.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Salesforce admin

CPQ expertise

Q2C processes

Leadership

Data-driven decision making

Cross-functional collaboration

Communication skills

Strumenti

Jira

Confluence

Salesforce Einstein

ERP integration

N8N

Descrizione del lavoro

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.