Lead Product Manager – AI & Trust Intelligence

Toronto, ON

emergiTEL is hiring a Lead Product Manager – AI & Trust Intelligence for our client in the telecommunications and digital identity industry. This is a Permanent role.

Compensation: $120,000 - $150,000/year
Location: Toronto, ON

Job Description

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 the client Trust Platform, a mobile identity and trust intelligence platform.

This role is pivotal in defining how the client 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 that enables trust at scale.

AI Product Strategy & Leadership

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.

Customer & Partner Engagement

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

6 to 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.

Vacancy Status / Statut du poste

This is an active position currently open for hiring. / Ce poste est activement ouvert au recrutement.

Use of Artificial Intelligence / Utilisation de l'intelligence artificielle

No artificial intelligence (AI) is used in the screening or selection process. All applications are reviewed by our recruitment team.