Head of AI Product - Trust Intelligence

emergiTEL is hiring a Head of AI Product – Trust Intelligence for our client in the Digital Identity, Fraud Prevention, and Telecommunications industry. This is a Permanent role.
Compensation: $160,000 - $180,000/year
Location: Toronto, ON

Job Description (English)

About the Role

Reporting to the Chief Product & Technology Officer, you will own the AI/ML product line within the client Trust Platform. You will turn mobile network, device, SIM, account and identity signals into intelligent products such as trust scores, fraud risk signals and real-time decisioning. Enterprises use these across onboarding, authentication, account protection and transaction monitoring.
This is a hands-on, player-coach role. In the first phase, you will personally drive discovery, strategy, roadmap and delivery, working side by side with data science and engineering teams. As the product line grows, you will build and lead a team of product managers.
The data science team builds the models. You own what gets built, why, and how it creates value for customers.

Set the Strategy

Own the product vision and multi-year roadmap for AI and trust intelligence, including trust scores, risk signals, decisioning, reason codes and customer-facing insights.

Shape the roadmap around customer needs, carrier data capabilities, fraud trends and evolving regulation.

Turn Models into Products

Productize models into enterprise offerings, including real-time APIs, batch outputs, decision engines, dashboards and workflow integrations.

Define how customers interpret outputs, including score meaning, reason codes, confidence indicators and explainability.

Set product success metrics with Data Science, covering model performance metrics such as precision, recall, false positives, drift and coverage, as well as customer value metrics including fraud reduction, conversion impact and operational efficiency.

Build the feedback loop that improves models using customer outcomes, fraud labels and partner insights.

Win with Customers and Partners

Lead customer discovery and turn fraud and identity problems into product opportunities with measurable success criteria.

Design proof-of-value pilots and support Sales and Solutions Engineering through to production adoption.

Explain AI outputs clearly to fraud, risk, technology and executive audiences through narratives, demos and use-case playbooks.

Work with carrier and data partners to deepen signal coverage, data quality and differentiation.

Build Responsibly

Ensure AI products are explainable, auditable and fit for high-trust, regulated environments.

Partner with privacy, legal, security and governance teams to apply privacy-by-design and secure-by-design principles, in line with PIPEDA, customer contracts and emerging responsible AI standards.

Lead and Grow

Act as the accountable owner for AI products, leading cross-functional teams without direct authority.

Establish how the client builds AI products, including defining model requirements, measuring customer value and running pilots.

As the portfolio scales, hire, develop and lead a team of product managers.

Must-have Experience

6+ years in product management, including taking ML, scoring or decisioning products from discovery to production and ongoing optimization.

Hands-on experience partnering with data scientists across the model lifecycle, including labels and training data, evaluation metrics, monitoring, drift and feedback loops.

Strong understanding of trade-offs in risk products, including precision versus recall, false positives versus customer friction, explainability and human-in-the-loop review.

Experience building and launching data and AI products and articulating the business value they created.

Confidence engaging with customers through technical discovery, executive briefings, pilots and demonstrations.

Ability to make complex AI concepts clear and actionable for business, risk and technical audiences.

Experience mentoring product managers or leading a product team.

Nice to Have

Domain experience in fraud, identity verification, authentication, account takeover, scams, KYC/AML or transaction monitoring.

Experience with telecom or mobile network data.

Why Join?

Build on authoritative carrier signals and unique data assets.

Own a product line end-to-end, reporting directly to executive leadership and building the team that scales it.

Deliver measurable impact by helping protect Canadians from fraud at national scale.

Help shape responsible AI practices in high-trust, regulated environments.