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Added 9 mins ago
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Digital Infrastructure Engineer
OLG
Sault Ste. Marie, ON · Toronto, ON · Foster Drive Office
- Full-time
…and closely aligned with production architecture, supporting enterprise digital platforms and integrations. Working in collaboration with application teams, vendors, and business…
Added 9 mins ago
Technical Lead
Dye & Durham Talent Team
Toronto, ON
Experience developing commercial SaaS products or enterprise software solutions in cloud-based environments.
Added 9 mins ago
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Branch Ops Manager
BMO
London, ON · LON
- Full-time
Acts as a subject matter expert on business applications/systems.
Added 9 mins ago
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Branch Operations Manager
BMO
Saint John, NB · Fredericton, NB · CHIP
- Full-time
Acts as a subject matter expert on business applications/systems.
Added 10 mins ago
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Strategist, Enterprise
BrainStation
Toronto, ON
- Full-time
As a Strategist, Enterprise, you will work with global organizations as they transform for the AI era. Our clients are leaders in their industries, operating across markets worldwide, and…
Added 10 mins ago
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IT Security Profess.
Schaeffler
Chatham-Kent, ON · Chatham, ON
- Full-time
Proven experience designing, implementing, and maintaining SIEM and SOAR architectures across enterprise environments.
Added 10 mins ago
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IT Security Profess.
Schaeffler
Chatham-Kent, ON · Chatham, ON
- Full-time
Proven experience designing, implementing, and maintaining SIEM and SOAR architectures across enterprise environments.
Added 10 mins ago
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Senior Dotnet Developer
Systematix
Regina, SK
- $75 to $95 CAD / hour
- Contract
Systematix is currently seeking a Senior .NET Developer – Support, Maintenance & Development for our client, a major provincial energy utility organization, to support the development,…
Added 10 mins ago
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Artificial Intelligence Engineer
PrecisionERP / PrecisionIT
Regina, SK
- Contract
Experience developing AI agents, enterprise chatbots, and AI-powered applications.
Added 10 mins ago
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Senior .NET Support, Maintenance, and Development Resource
Global Technical Talent, an Inc. 5000 Company
Regina, SK
- $45 to $70 CAD / hour
- Contract
The client's Digital, Technology and Security (DT&S) Enterprise Application Services (EAS) team is seeking a seasoned Senior Support, Maintenance, and Development (.NET) Resource. The…
Added 10 mins ago
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DevOps Engineer
Synechron
Montreal, QC
- Full-time
…to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our…
Added 10 mins ago
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Account Executive, Enterprise
BrainStation
Toronto, ON
- Full-time
As an Account Executive, Enterprise, you will build and grow relationships with global organizations as they transform for the AI era. Our clients are leaders in their industries, operating…
Added 10 mins ago
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Manager, Enterprise
BrainStation
Toronto, ON
- Full-time
As a Manager, Enterprise, you will lead engagements with global organizations as they transform for the AI era. Our clients are leaders in their industries, operating across markets…
Added 10 mins ago
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Senior Data Security Engineer
Hays
Toronto, ON
- $120 to $150 CAD / hour
- Contract
…Senior Data Security Specialist to support and strengthen its enterprise data security…
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Senior Systems Analyst – Microsoft Dynamics 365 F&O / SCM
Bevertec
Toronto, ON · Greater Toronto Area, Canada
- Contract
Design and support system integrations between D365 F&O and other enterprise platforms.
Added 10 mins ago
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Business Analyst
Consilio LLC
AB · Edmonton, AB
- $60 to $85 CAD / hour
- Contract
Experience supporting enterprise applications, troubleshooting issues, and coordinating resolutions with stakeholders and vendors.
Added 10 mins ago
VF
Assistant Manager, Sanitation
Village Farms International Inc.
Delta, BC
- $75,000 to $85,000 CAD / year
- Full-time
Working experience with Master Sanitation Schedule (MSS) and Enterprise Resource Planning (ERP) systems for scheduling, auditing, and inventory control.
Added 25 mins ago
BS
Ingénieur(e) de données/Data Engineer
Browns Shoes
Montreal, QC
- Full-time
…concevoir et de maintenir des flux de données fiables entre nos applications d’affaires, nos partenaires externes et notre plateforme de…
Added 25 mins ago
FF
Manager, Regulatory Compliance
Foresters Financial
Toronto, ON
- Full-time
The Manager, Regulatory Compliance plays a key role in the overall success of the Enterprise Compliance function by leading important areas of Foresters Regulatory Compliance Management…
Added 40 mins ago
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Sr. Renewals Specialist
Fortra
ON · Canada-Ontario
- Full-time
Intermediate proficiency with Microsoft Office applications, including Outlook, Word, PowerPoint, and Excel.
Added 55 mins ago
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Intern, Stress Testing, Risk Management
EQ Bank
Toronto, ON
- Full-time
Stress Testing – Develop and implement reporting deliverables for the Stress Testing program, including advancing the enterprise’s stress testing capability through tool building and AI…
Added 55 mins ago
OC
Production Techgronomist
Olds College of Agriculture & Technology
Olds, AB
- $70,000 to $80,000 CAD / year
- Full-time
…they will ensure that innovative agronomic plans and precision applications are executed in the field. The Production Techgronomist will also be highly involved in the practical day-to-day…
Added 55 mins ago
CO
Environmental Services Engineer, Compliance-TS269
City of London, Canada
London, ON
- Full-time
Engage in opportunities to work across Divisions and Service Areas in support of enterprise-wide collaboration.
Added 55 mins ago
AI
Salesforce Senior FSC Developer / Technical Lead
Apptoza Inc.
Toronto, ON
- Contract
Role: Salesforce Senior FSC Developer / Technical Lead
Added 55 mins ago
MN
Salesforce Technical Lead
March Networks
Ottawa, ON
- Full-time
Champion Integration and Modernization: Oversee the development, upgrade, and support of all core business applications, with a strong emphasis on integrating Salesforce with SAP, Kinaxis,…

EnStream LP

Head of AI Product – Trust Intelligence

Toronto, ON, Canada

Salary Range: $130,000–$180,000 per year · Full-time

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Job details

Pay: Salary Range: $130,000–$180,000 per year
Job type: Full-time
Apply by: Apr 20, 2027
Posting language: English
Posted: Oct 22, 2026

Original job description

Location: Toronto Downtown, Hybrid

Department: Product & Technology

Reports to: Chief Product & Technology Officer

Type: Full-time

Salary Range: $130,000–$180,000 per year

Vacancy: This posting is for an existing vacancy.

Artificial intelligence: EnStream may use artificial intelligence-enabled tools to assist in screening or assessing applications for this position. Hiring decisions are made by EnStream personnel.

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.

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 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.

Experience

Must have

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 strong 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 end to end, report directly to the CPTO, and build the team that grows it.
Visible impact. Your work protects Canadians from fraud at national scale, for the country's largest banks, fintechs and telcos.
Responsible AI in practice. Help set the standard for how AI is used in high-trust, regulated decisions.

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.

Accommodation is available upon request for applicants with disabilities throughout the recruitment and selection process.

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More about this job

Responsibilities

Own the AI and trust intelligence product line, setting its strategy and roadmap and turning models and mobile network signals into enterprise products such as trust scores, risk signals, APIs, and decisioning tools. Lead customer discovery, pilots, responsible AI practices, cross-functional delivery, and the eventual growth of a product management team.

Requirements

Requires at least six years of product management experience, including taking machine learning, scoring, or decisioning products from discovery through production and ongoing optimization. Candidates should have hands-on experience with data scientists across the model lifecycle, understand risk and explainability trade-offs, communicate effectively with customers and executives, and have experience mentoring or leading product managers.

Skills

AI Product Management
Machine Learning Productization
Product Strategy
Roadmap Development
Data Science Collaboration
Model Evaluation
Model Monitoring
Fraud Risk Management
Identity Verification
Decisioning Products
Customer Discovery
Product Pilots
Explainable AI
Privacy By Design
Cross-Functional Leadership
Team Development

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Trust Intelligence
Trust Scores
Fraud Risk Signals
Real-Time Decisioning
Mobile Network Data
Device Signals
SIM Data
Identity Signals
APIs
Batch Outputs
Decision Engines
Dashboards
Workflow Integrations
Reason Codes
Explainability
Precision
Recall
False Positives
Model Drift
Feedback Loops
Fraud Detection
Identity Verification
Authentication
Account Protection
Transaction Monitoring
Privacy By Design
PIPEDA
Responsible AI

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