Manager, Global Incentive Compensation

Description

What you will do

• Define and drive the product vision and roadmap for incentive compensation, quota, territory, and commission management features.
• Identify AI and machine learning opportunities such as payout anomaly detection, predictive quota modeling, natural-language plan configuration, and compliance checks.
• Partner with engineering, design, and data science to scope, prioritize, and ship features from concept to general availability.
• Apply AI capabilities while balancing innovation with accuracy, auditability, and trust.
• Translate accelerators, tiers, contests, clawbacks, and multi-currency plans into clear product requirements.
• Communicate roadmaps, trade-offs, and outcomes to stakeholders and leadership.
• Create user stories, refine them with development and QA teams, and prioritize Scrum team work.
• Develop an end-to-end testing strategy and collaborate with Operations on execution.
• Work with sales operations, finance, and customer-facing teams to validate solutions.
• Define success metrics, run experiments, and iterate using customer and usage data.

What you will bring

• At least four years of product management experience in sales compensation, incentive compensation, or related sales performance management.
• Prior experience working as a Product Owner on Scrum teams.
• Strong analytical skills with comfort working through compensation mathematics, plan logic, and edge cases.
• Cross-functional collaboration and communication skills across finance and engineering.
• Excellent oral and written communication, presentation, and process documentation skills.
• Hands-on familiarity with AI and machine learning product development, including LLMs and predictive models.

Core domain skills

• Incentive compensation, sales compensation, quota management, territory management, and commission management.
• AI/ML product development, predictive modeling, natural-language interfaces, and agentic workflows.
• Auditability, compliance, financial controls, and compensation plan logic.