Staff Product Manager, Payments Transaction Risk

What you'll do

• Deliver fiscal year goals for reducing fraud losses and false-positive rates in bill payment and payroll transactions.
• Define the risk decisioning strategy by determining how models, rules, and signals combine to approve or block transactions.
• Evaluate and integrate new data vendors and internal sources to improve decision accuracy and coverage.
• Develop features and signals to assess the risk of transaction counterparties like payees, vendors, and employees.
• Advance AI-native decisioning systems while ensuring low latency, reliability, and clear explainability for automated decisions.
• Track and report key performance metrics including loss rates, model precision, recall, and decision latency.
• Prioritize and manage delivery timelines across data science, engineering, risk policy, and compliance teams.

What we're looking for

• 4+ years in Product Management with ownership of complex, technical, multi-team initiatives and accountability for measurable business outcomes.
• Proven track record building risk/fraud decisioning strategies including loss and false-positive outcome management.
• Experience partnering with data science and ML teams to develop, evaluate, and productionize models.
• Experience evaluating, integrating, and operationalizing third-party and internal data via data vendors and pipelines.
• Strong technical fluency in real-time/streaming decisioning, APIs, data infrastructure, and experimentation.
• Quantitative rigor including analytics and A/B testing to size opportunities and prove impact.
• Experience in payments, fraud, risk, or another high-scale financial domain.
• Bachelor's degree required; Master's degree or MBA preferred.