Manager, Global Incentive Compensation
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- 4+ years of product management experience, with meaningful time in sales compensation/incentive compensation, or related sales performance management (SPM) domains
- Posting language
- English
- Posted
Original job description
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 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.
What You'll Actually Be Doing
- 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 storiesEffective refinement of user stories with development and QA teamsEffectively 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
- 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
More about this job
Responsibilities
Define and deliver the product vision and roadmap for sales compensation and revenue planning features, including responsible AI/ML capabilities. Translate complex compensation rules into product requirements, prioritize and ship features with cross-functional teams, and measure outcomes using customer and usage data.
Requirements
Requires 4+ years of product management experience, including meaningful experience in incentive compensation or a related sales performance management domain, and prior product ownership on Scrum teams. Candidates should have strong analytical, communication, and collaboration skills, plus hands-on familiarity with AI/ML product development and its reliability and governance considerations.
Skills
- Product Management
- Incentive Compensation
- Sales Compensation
- Sales Performance Management
- Product Roadmapping
- AI/ML Product Development
- Agile Product Ownership
- Requirements Gathering
- User Story Development
- Backlog Prioritization
- Compensation Plan Logic
- Data Analysis
- Cross-Functional Collaboration
- Stakeholder Communication
- End-to-End Testing
- Process Documentation
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Management & Leadership
- Finance & Accounting
- Software
- Data & Analytics
Keywords
- Product Management
- Incentive Compensation
- Sales Compensation
- Revenue Planning
- Sales Performance Management
- Quota Management
- Territory Management
- Commission Management
- Artificial Intelligence
- Machine Learning
- Large Language Models
- Predictive Modeling
- Agentic Workflows
- Anomaly Detection
- Compliance Checks
- Accelerators
- Compensation Tiers
- Contests
- Clawbacks
- Multi-Currency Plans
- Product Roadmap
- Agile
- Scrum
- User Stories
- Quality Assurance
- End-to-End Testing
- Auditability
- Finance Audit Guidelines
- Success Metrics