Customer Success Compensation Lead

Salesforce; New York (NY); On-site; USD 117,000 - 194,000; Full time

Job summary

Salesforce is seeking an operations professional to manage compensation programs and quota issuance for Customer Success Managers. You will govern processes, ensure data accuracy, and coordinate with Sales, Renewals, Finance, and BI to keep programs aligned with business goals.

4–6 years of relevant experience, hands-on data pipeline work (SQL/ETL), and strong analytical/communication skills are required. Some travel may be required to support global teams.

Qualifications

• Experience with incentive compensation programs and governance.
• Familiarity with data pipelines and data integrity.
• Ability to work across global time zones and travel quarterly if required.

Responsibilities

• Execute the incentive framework for CSMs, ensuring program alignment with business objectives and operational guidelines.
• Act as the primary point of contact for day-to-day compensation governance and escalation questions.
• Manage the end-to-end operational process for CSM quota issuance and ensure timely quota assignments at scale.
• Develop and maintain data pipelines for accurate attainment calculations and data integrity across compensation systems.
• Identify bottlenecks and improve tooling, data accuracy, and workflows.
• Collaborate with Sales, Renewals, BI, Strategy & Operations, and Finance on schedules and data inputs.
• Analyze compensation and quota data and present updates to leadership.

Skills

Incentive compensation frameworks

Data governance principles

Business process design

Data engineering

SQL

ETL/ELT workflows

Analytical and communication skills

Tools

Salesforce CRM

Job description

Salesforce is seeking an operations professional to manage compensation programs and quota issuance for Customer Success Managers. You will govern processes, ensure data accuracy, and coordinate with Sales, Renewals, Finance, and BI to keep programs aligned with business goals.

4–6 years of relevant experience, hands-on data pipeline work (SQL/ETL), and strong analytical/communication skills are required. Some travel may be required to support global teams.