Salesforce Revenue Cloud QTC Lead (CPQ Migration)

Elastic; United States; Hybrid; USD 136,000 - 215,000; Full time

Benefits offered by this job

Stock program

401k with company match

Competitive vacation days

Donations matching

Volunteer hours

Parental leave

Job summary

Elastic is seeking a senior leader to drive the migration from Salesforce CPQ to Revenue Cloud, owning end-to-end Quote-to-Cash delivery. You will partner with Sales, Finance, Legal and IT to ensure scalable quoting, pricing, contracting, ordering and billing processes.

The role requires 8+ years in CPQ/Revenue Cloud implementations, strong data modeling and integrations, and guidance across architecture and governance.

Qualifications

• Experience in Salesforce CPQ and Revenue Cloud architecture.
• End-to-end Quote-to-Cash implementations (CPQ, Billing, Subscription Management, Revenue Recognition).
• Strong data modeling, system integrations (MuleSoft, APIs, middleware, ERP) and security design.
• 8+ years of Salesforce CPQ or Revenue Cloud implementations or migrations.

Responsibilities

• Lead migration from Salesforce CPQ to Revenue Cloud end-to-end.
• Own engineering delivery for the Q2C workstream with Scrum practices.
• Define roadmaps, integration strategies and system enhancements.
• Mentor development/configuration teams and govern architecture.
• Collaborate with Sales, Finance, IT and Product for seamless adoption.
• Lead workshops and produce solution blueprints and proofs of concept.

Skills

Salesforce CPQ

Revenue Cloud

Quote-to-Cash

Cross-functional leadership

Solution design

Tools

Sales Cloud

Service Cloud

Lightning

Apex

Visualforce

MuleSoft

APIs

ERP integrations

Job description

Elastic is seeking a senior leader to drive the migration from Salesforce CPQ to Revenue Cloud, owning end-to-end Quote-to-Cash delivery. You will partner with Sales, Finance, Legal and IT to ensure scalable quoting, pricing, contracting, ordering and billing processes.

The role requires 8+ years in CPQ/Revenue Cloud implementations, strong data modeling and integrations, and guidance across architecture and governance.