Lead the technical direction of a real-time fraud detection platform spanning streaming, storage, machine learning training pipelines, and AI-assisted engineering tools. Responsibilities include architecture, coding, code review, incident response, operational excellence, technical planning, mentoring, and cross-functional collaboration. The role requires hands-on development of distributed systems and establishing standards for safe, verifiable use of AI coding and agent tools.

Serve as strategic Customer Success Manager for enterprise clients, driving ROI from fraud detection and AML platform use. Monitor detection performance, advise on ML and rule-engine tuning, coordinate with Product and Engineering, run business reviews, educate clients on best practices, and translate customer needs into product feedback to reduce fraud and streamline operations.