Manager, Global Incentive Compensation

Salesforce•Toronto, ON

2d•CA$107,200 - CA$147,400

About The Position

We're looking for a Product Manager to help shape the future of our sales compensation and revenue planning platforms, blending deep domain expertise in incentive compensation with a strong grasp of applied AI. You'll own product decisions that directly impact how organizations plan, calculate, and optimize sales compensation — while pushing our roadmap toward smarter, AI-powered capabilities. You will utilize your deep technical competencies and functional business expertise to identify, evaluate, and develop systems and procedures that meet business user requirements and follow general IT and Finance audit guidelines. To do this successfully, you will work closely with multi-functional teams to understand business needs, and IT development to provide automated solutions. An ability to understand business process issues and communicate technical solutions to the internal partners is essential to your success in this role.

Requirements

4+ years of product management experience, with meaningful time in sales compensation/incentive compensation, or related sales performance management (SPM) domains
Prior experience working as product owner on scrum teams
Strong analytical skills; comfort working through compensation math, plan logic, and edge cases
Excellent cross-functional collaboration and communication skills — you can talk comp plans with finance and model architecture with engineers
Excellent oral and written communication skills, including presentation skills and process documentation
Hands-on familiarity with AI/ML product development — you understand what LLMs and predictive models can (and can't) reliably do, and how to design guardrails around them

Responsibilities

Define and drive the product vision and roadmap for sales compensation (incentive comp, quota, territory, or commission management) features
Identify opportunities to embed AI/ML into compensation workflows — e.g., anomaly detection in payouts, predictive quota modeling, natural-language plan configuration, or automated compliance checks
Partner with engineering, design, and data science to scope, prioritize, and ship features from concept to GA
Evaluate and responsibly apply AI capabilities (LLMs, predictive models, agentic workflows) — balancing innovation with accuracy, auditability, and trust, especially given compensation's financial sensitivity
Translate complex compensation business rules (accelerators, tiers, contests, clawbacks, multi-currency plans) into clear product requirements
Create effective presentation and communicate roadmap, trade-offs, and outcomes to stakeholders and leadership
Implement as product owner in the Agile process from requirements gathering to deployment:
Deliver quality and clear user stories
Effective refinement of user stories with development and QA teams
Effectively prioritize work for the scrum team
Develop E2E testing strategy with stakeholders and collaborate with Operations (responsible for execution of testing)
Work closely with sales operations, finance, and customer-facing teams to understand pain points and validate solutions
Define success metrics, run experiments, and iterate based on customer and usage data