Senior Product Manager II - Fraud & Identity
New
J
JobgetherFintech, fraud prevention
Work from anywhere in Canada or the United StatesFull-TimeSenior
SalaryAnnual base salary for Canadian locations ranging from CAD $156,500 to $215,000
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Job Details
- Required Skills
- Artificial IntelligenceProduct ManagementRisk Management
Requirements
- Demonstrated experience owning a fraud, risk, or identity product area within a payments, fintech, or marketplace business, with direct accountability for product decisions and outcomes.
- Strong understanding of fraud detection trade-offs, including precision versus recall, false-positive costs, risk signals, and customer friction.
- Ability to work directly with engineering teams on scoring logic, data schemas, integrations, authentication systems, and technical product decisions.
- Experience leading or co-leading incident response and developing processes for investigating and resolving fraud events.
- Practical experience using or building AI-powered solutions for efficiency, accuracy, automation, or decision-making across the fraud lifecycle.
- Track record of translating analysis into recommendations, prioritizing product roadmaps, and delivering measurable improvements through shipped products.
- Experience making build-versus-buy decisions and assessing fraud prevention, risk management, or identity verification platforms.
- Ability to challenge senior stakeholders constructively, support recommendations with evidence, and align diverse teams around product decisions.
- Excellent written communication and documentation skills for explaining technical and risk-related concepts.
- Payroll, payments, money movement, vendor or accounts payable fraud, KYC/AML, or identity platform experience is an additional asset; Auth0 familiarity is cited.
- Advanced financial or fraud-related qualifications such as CPA, CFA, or Certified Fraud Examiner (CFE) are beneficial.
Responsibilities
- Define the product vision, strategy, and roadmap for fraud prevention, detection, identity verification, and authentication.
- Coordinate priorities across teams and sequence initiatives based on risk reduction, customer experience, and business impact.
- Work with engineers to evaluate risk signals, refine scoring logic, define detection rules, and improve fraud prevention systems.
- Turn research and analysis into evidence-based recommendations, prioritized decisions, and shipped product improvements.
- Coordinate fraud incident management and improve investigation processes, escalation procedures, and response playbooks.
- Define and monitor metrics for fraud detection accuracy, authentication coverage, false positives, operational efficiency, and customer experience.
- Support investigation, triage, case management, and response workflows for operational teams.
- Partner with legal and governance, risk, and compliance stakeholders on KYC, AML, audit readiness, and related product capabilities.
- Lead build-versus-buy decisions and assess fraud prevention, identity platforms, vendors, and emerging technologies.
- Explore and implement AI-enabled solutions to improve fraud detection, investigations, automation, and risk management.
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