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About the Role
This newly created role focuses on building the intelligence layer behind products that support digital onboarding, authentication, identity validation, and fraud prevention. You will work closely with Data Science, Engineering, Sales, Marketing, and customers to take ML/AI solutions from concept and pilots through to production. This is an opportunity to join a collaborative product team where you will have significant autonomy and the opportunity to help shape both the product roadmap and the company’s approach to AI-powered products.
Responsibilities
- Own the product lifecycle for AI/ML-powered data and trust intelligence products
- Define product requirements and roadmap priorities across feature engineering, feature stores, models, and intelligence products
- Work closely with Data Science, Data Engineering, and Engineering teams to move ML models from development through production
- Lead customer discovery, pilots, and proof-of-value initiatives and use learnings to shape the product roadmap
- Translate technical ML capabilities into practical products and use cases for customers
- Develop go-to-market strategies and product positioning for new AI-powered offerings
- Define product success metrics and work with technical teams to evaluate model performance and customer outcomes
- Collaborate across Sales, Marketing, Finance, Technology, and Product to bring products to market
- Communicate product vision, roadmap, progress, and business value to internal and external stakeholders
Requirements
- 6+ years of experience in product management, data science, data engineering, analytics, or a related technical discipline, with experience moving into or working closely with product
- Strong understanding of machine learning delivery lifecycles and ML modelling
- Familiarity with supervised, unsupervised, and semi-supervised learning
- Strong understanding of ML concepts including precision, recall, model performance, evaluation, and modelling frameworks
- Experience taking AI/ML, analytics, or data products from discovery through pilot and into production
- Strong ability to work with Data Science, Data Engineering, Software Engineering, and other technical teams
- Experience translating technical capabilities into customer problems, product opportunities, and business outcomes
- Strong communication skills and the ability to work effectively across technical and business stakeholders
- Comfortable working in a small or mid-sized, fast-moving environment where priorities can shift and individuals take on broad responsibilities
- Strong sense of ownership, accountability, and initiative
- A collaborative, low-ego approach to working with others
- Experience in fraud analytics, financial services, SaaS, identity, authentication, or telecommunications (Nice to Have)
- Experience with onboarding, fraud prevention, risk, identity verification, or decisioning products (Nice to Have)
- Experience working with proprietary or large-scale data products (Nice to Have)
- Experience building or managing products involving APIs, data platforms, scoring models, or decisioning systems (Nice to Have)
- Experience in a startup or growth-stage environment (Nice to Have)
Skills
- AI
- Machine Learning
- Data
- Product Management
- Feature Engineering
- Feature Stores
- ML Models
- Intelligence Products
- Customer Discovery
- Go-to-Market Strategy
- Product Positioning
- Product Success Metrics
- Model Performance Evaluation
- Customer Outcomes
- Sales
- Marketing
- Finance
- Technology
- Product
- Communication
- APIs
- Data Platforms
- Scoring Models
- Decisioning Systems
Location
- Toronto, ON
Work Type
- Hybrid
- Full-time
Experience Level
- 6+ years of experience
Salary/Compensations
- $130,000–$155,000
Benefits
- Annual Performance-Based Bonus
- Paid Time Off
- Medical, dental, and vision benefits
- RRSP Matching
About the Company
- A growing Canadian technology company at the intersection of mobile data, identity, and digital trust.
Equal Opportunity
- We’re proud to support diversity and inclusion. Need accommodation during the hiring process? Just let us know; we are here to support you!