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From the employer's careers site First seen 27 Oct 2026 · Still live on 31 Oct 2026

Product Manager

Salesforce Toronto senior full-time

Salary

CAD 107,200 to CAD 147,400 annually

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Description

Salesforce is looking for a Product Manager to help shape the future of its sales compensation and revenue planning platforms. The successful candidate will blend deep domain expertise in incentive compensation with a strong grasp of applied AI.

The Experience 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 organisations plan, calculate, and optimise sales compensation , while pushing our roadmap toward smarter, AI-powered capabilities.

Responsibilities

  • Define and drive the product vision and roadmap for sales compensation features
  • Identify opportunities to embed AI/ML into compensation workflows
  • Partner with engineering, design, and data science to scope, prioritise, and ship features from concept to GA
  • Evaluate and responsibly apply AI capabilities
  • Translate complex compensation business rules into clear product requirements
  • Create effective presentations and communicate roadmap, trade-offs, and outcomes to stakeholders and leadership
  • Implement as product owner in the Agile process from requirements gathering to deployment
  • Develop E2E testing strategy with stakeholders and collaborate with Operations
  • 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

Requirements

  • 4+ years of product management experience, with meaningful time in sales compensation/incentive compensation, or related sales performance management 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
  • Hands-on familiarity with AI/ML product development

Skills

Required

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