
Senior Product Manager, Incentives Efficiency
- Canada
- 158.000-175.000 $ par an
- Permanent
- Temps-plein
- Leverage Machine Learning Models: Design, implement, and iterate on machine learning models to optimize the effectiveness and efficiency of various incentive programs, ensuring they drive user engagement, retention, and overall growth.
- Cross-Functional Collaboration: Work closely with data science, engineering, and marketing teams to develop and refine incentive strategies, ensuring they are targeted effectively and deliver measurable business outcomes.
- Strategic Incentive Management: Continuously experiment with and analyze incentive offers, such as discounts, credits, and promotions, to maximize their impact on key performance metrics like incremental Gross Transaction Value (iGTV) and Return on Ad Spend (iROAS).
- Ownership and Impact: Take full ownership of incentive efficiency projects, driving significant increases in key metrics while maintaining or reducing the budget.
- Thriving in a Fast-Paced Environment: Adapt to a fast-paced and constantly changing environment, where continuous learning and quick iteration are essential. This role is ideal for someone who thrives on tackling complex challenges at scale and is excited by the opportunity to make a substantial impact on the business.
- 5+ years of product management experience
- Ability to develop and execute a strategic vision for leveraging machine learning to optimize incentive programs. This includes setting clear goals, defining key performance metrics, and aligning the team around a shared vision.
- Strong analytical and communication skills including the ability to define and unpack multiple inter-related metrics, and clearly communicate the outcomes to both technical and non-technical audiences
- Demonstrated leadership skills with the ability to take full ownership of projects. This includes driving significant increases in key metrics while maintaining or reducing the budget, and ensuring projects are delivered on time and within scope.
- Ability to thrive in a fast-paced and constantly changing environment. This role requires someone who can quickly adapt to new information, pivot strategies as needed, and continuously learn and iterate.
- Direct experience driving results with machine learning partners