Lead Product Manager – AI & Trust Intelligence

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

We are seeking a high-impact Lead Product Manager - AI & Trust Intelligence to own and lead the development of AI-powered data products across EnStream Trust Platform, our mobile identity and trust intelligence platform.

This role is pivotal in defining how EnStream transforms authoritative mobile network, device, SIM, account, and identity signals into intelligent products that help enterprises make better decisions across onboarding, authentication, account protection, transaction monitoring, and fraud prevention.

You will lead initiatives across AI-powered trust scoring, fraud risk intelligence, anomaly detection, model explainability, decisioning workflows, and customer-facing insights. You will partner closely with engineering, data science, sales, product, and enterprise customers to build intelligence to enables trust at scale.

What You’ll Do

• Define and own the product strategy for AI and Trust Intelligence products, including trust scores, risk signals, decisioning models, model outputs, reason codes, and customer-facing insights.
• Build a cohesive multi-year product roadmap aligned to business priorities, carrier data capabilities, enterprise customer needs, fraud trends, and evolving regulatory expectations.
• Drive the vision for next-generation mobile identity intelligence, including AI-powered fraud detection, adaptive risk scoring, identity reputation, signal intelligence, and real-time trust decisioning.

Trust Intelligence & AI Model Productization

• Lead the development of AI/ML-powered trust data and intelligence products, supporting orchestration across signals, rules and models.
• Productize AI models into practical enterprise offerings, including APIs, batch outputs, dashboards, reports, decision engines, and workflow integrations.
• Define customer-facing score interpretation, reason codes, confidence indicators, and model explainability requirements.
• Co-establish product metrics for model performance and customer value, including precision, recall, false positive rates, lift, stability, drift, coverage, conversion impact, fraud reduction, and operational efficiency with Data and AI partners.
• Build processes for continuous model improvement using customer outcomes, feedback data, fraud signals, and partner insights.
• Lead discovery sessions that translate customer problems into AI product opportunities, pilot designs, and measurable success criteria.
• Design proof-of-value programs that demonstrate the impact of AI and trust intelligence data products.
• Partner with GTM, Sales, and Solutions Engineering to support enterprise adoption, customer success, and product-led growth.
• Develop clear product narratives, demos, use case playbooks, and technical explanations that make AI outputs understandable and actionable for business, fraud, risk, and technology stakeholders.
• Work with carrier partners and strategic data providers to identify opportunities to deepen signal coverage, data quality, and product differentiation.

Responsible AI, Privacy & Compliance Alignment

• Ensure AI product capabilities are explainable, auditable, measurable, and appropriate for high-trust enterprise environments.
• Partner with privacy, legal, security, data governance, and AI governance teams to ensure AI capabilities are developed with privacy-by-design and secure-by-design principles.
• Maintain alignment with applicable privacy, identity, fraud, and risk management expectations, including PIPEDA, data governance requirements, AI governance, customer contractual obligations, and emerging responsible AI practices.

What You Bring

Experience

• 6-8+ years of product management experience in AI/ML products, data products, fraud/risk, digital identity, cybersecurity, fintech, telecom, enterprise SaaS, or decisioning platforms.
• Experience working closely with data science, machine learning, data engineering, software engineering, architecture, privacy, and security teams.
• Experience taking AI, analytics, scoring, or data products from discovery through production launch and ongoing optimization.
• Familiarity with model development workflows, including feature engineering, labels, training data, evaluation metrics, monitoring, feedback loops, and model governance.
• Experience with fraud prevention, identity verification, digital onboarding, authentication, account takeover, synthetic identity, scams, KYC, AML, or transaction monitoring is strongly preferred.
• Experience with APIs, data platforms, scoring engines, analytics dashboards, decisioning systems, or customer-facing data products.

Skills

• Strong product instincts and ability to balance customer needs, AI capability, privacy expectations, security requirements, and user experience.
• Ability to translate complex AI, data, and technical concepts into clear business outcomes for executives, customers, and cross-functional teams.
• Strong understanding of AI/ML product concepts, including model performance, explainability, precision/recall, false positives, drift, confidence scores, and human-in-the-loop workflows.
• Strong analytical skills and comfort working with data, metrics, APIs, risk signals, product analytics, and customer outcome measurement.
• Familiarity with privacy-by-design, secure-by-design, responsible AI, and enterprise data governance principles.
• Customer-facing confidence with the ability to support sales, pilots, executive briefings, technical discovery, and product demos.

Why Join Us?

• Be part of a mid-sized, mission-driven company where your work has direct visibility and measurable impact.
• Help shape the future of digital trust, fraud prevention, and mobile identity intelligence in Canada.
• Work on AI products that solve real-world problems for banks, fintechs, insurers, telcos, enterprises, and consumers.
• Partner closely with leadership and influence high-level product, technology, and business decisions.
• Help define how responsible AI can be used to make digital interactions safer, smarter, and more trusted.

Ready to Help Build a Safer Canada?

If you’re a systems thinker, AI product builder, trusted advisor, technical storyteller, and mission-driven leader — we’d love to talk.

This role requires a minimum of four (4) days per week working onsite at EnStream’s head office in Toronto; this requirement may be changed at management’s discretion.

Who is EnStream EnStream is a leader in secure digital identity and mobile data intelligence, working to advance the future of digital trust in Canada. We build innovative data-driven models that enhance the integrity, reliability, and safety of digital identity ecosystems. Our latest initiative leverages advanced data science, machine…

About Us 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…

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