Senior Sales Compensation Analyst (CaptivateIQ)
Atlanta, GAAll locationsAtlanta, GAMinneapolis, MNChicago, ILAustin, TXRemote, USA Remote
$82,550–$150,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
Perforce is hiring a Senior Compensation Analyst to serve as the dedicated owner of CaptivateIQ (CIQ) , our commissions and incentive compensation platform. This role sits at the center of sales compensation operations, responsible for the day-to-day accuracy of commission calculations, the integrity of plan configurations, and the ongoing evolution of the system as Perforce's comp plans, deal structures, and go-to-market strategy change. This is not a general comp analyst role. We need someone who has lived inside CaptivateIQ, who understands its data model, calculation logic, statement generation, and admin console at a deep, technical level, and who can be trusted as the final word on how the system should be configured and why.
What you'll bring
- 5+ years of experience in sales compensation, commissions administration, or a related finance/RevOps function.
- Deep, hands-on CaptivateIQ experience is required
- including plan building, formula/logic configuration, data connections, and admin-level troubleshooting.
- Candidates without direct CIQ experience will not be considered.
- Strong understanding of sales compensation plan mechanics such as quotas, accelerators, tiers, SPIFFs, draws, clawbacks, and multi-component plans.
- Advanced Excel skills
- comfort working with large, imperfect datasets and reconciling data across systems.
- Experience with Salesforce (or another CRM) as a data source for commissions, including how opportunity and product data flow into calculations.
- Excellent attention to detail and a bias toward accuracy
- this role is the last line of defense before commission dollars go out the door.
- Strong communication skills
- able to explain complex calculation logic clearly to non-technical stakeholders and to push back diplomatically on requests that would compromise data integrity.