We’re on a mission to grow trust in Canada.

EnStream is a trusted leader in secure mobile identity verification and digital trust in Canada. We work at the intersection of technology, telecommunications, data, and identity to enable organizations to deliver seamless, secure digital experiences to their customers. Jointly owned by Canada’s largest telecom providers, EnStream is uniquely positioned to provide secure access to mobile network insights that drive growth, reduce fraud, and protect consumers.

We believe that earning trust is the foundation of every great customer relationship. And we’re building the technology, intelligence, and partnerships to make that possible at scale.

About the Role Reporting to our Chief Product & Technology Officer, you’ll own the AI/ML product line within the EnStream Trust Platform. You’ll 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’ll personally drive discovery, strategy, roadmap and delivery, working side by side with our data science and engineering teams. As the product line grows, you’ll build and lead a team of product managers.

Our data science team builds the models. You own what gets built, why, and how it creates value for customers.

What You’ll Do Set the strategy

Own the product vision and multi-year roadmap for AI and trust intelligence: 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: real‑time APIs, batch outputs, decision engines, dashboards and workflow integrations.

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

Set product success metrics with Data Science, covering both model performance (precision, recall, false positives, drift, coverage) and customer value (fraud reduction, conversion impact, 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

Make sure our 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, 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 EnStream builds AI products: how we define model requirements, measure customer value and run pilots.

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

What You Bring 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: labels and training data, evaluation metrics, monitoring, drift and feedback loops.

A solid grasp of the trade‑offs in risk products: precision vs. recall, false positives vs. customer friction, explainability and human‑in‑the‑loop review.

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

Confidence in front of customers, from technical discovery to executive briefings, pilots and demos.

The 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 Us?

Data no one else has.

Build on authoritative carrier signals, not commodity data.

Real ownership.

Own a product line en

📌 Head of AI Product (Toronto)
🏢 EnStream
📍 Toronto