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Manage ClarityPay's treasury function including liquidity management, cash forecasting, banking relationships, treasury operations, payment reconciliations, and controls. Partner with Accounting, FP&A, Servicing, and Operations to support financial close, resolve reconciliation exceptions, and ensure compliance with banking agreements and policies.

Manage the product team's projects and initiatives, facilitate communication between product and engineering, and improve operational processes.

Lead monitoring of fintech products, manage incidents, and improve platform reliability through data-driven insights. Collaborate with cross-functional teams.

The Product Operations Manager will monitor platform health, triage escalated support issues, and maintain the operational infrastructure for a fintech company, requiring cross-functional collaboration and strong analytical skills.

Lead and build the decision-science function for consumer credit: hire and grow a modeling team, develop end-to-end credit and fraud models, enable real-time POS decisioning, implement governance/validation/monitoring, ensure fair-lending and regulatory compliance, and partner with Data/Engineering to productionize models.

The Product Analytics & Optimization Lead will analyze customer journey funnels, drive improvements through experimentation, and partner cross-functionally to enhance product and funnel efficiency.

The Senior Product Manager will drive product initiatives for a lending platform, collaborating with cross-functional teams and ensuring product success from ideation to launch.

Lead the credit strategy and portfolio oversight for ClarityPay, developing risk frameworks, collaborating on underwriting, and managing a risk team.

Lead pricing strategy and financial modeling for BNPL and installment products. Design merchant-level pricing, APRs, fees, and promotional tiers while balancing risk, profitability, and regulatory compliance. Drive A/B testing, KPI monitoring, cross-functional product launches, and automation of pricing models to optimize conversion and portfolio health.

The role involves developing advanced machine learning algorithms, solving complex optimization problems using reinforcement learning techniques, and leading technical projects while optimizing solutions for operational efficiency.