
Director of Engineering
Lead the technology strategy and roadmap for Tide's Ongoing Monitoring (fraud, financial risk, AML and agentic AI workflows). Responsible for scaling ML models and risk-scoring systems, building multi-agent investigation workflows, ensuring auditable and explainable AI compliant with AML/privacy standards, and growing multiple engineering squads in partnership with Product, Data, Risk and Operations. Requires 15+ years engineering experience and strong domain experience in ML, fraud/AML, adversarial AI, and cloud-native systems.







