DataVisor is the world’s leading AI-powered fraud and risk platform. This remote-based role, based in Ireland, partners with enterprise clients to drive ROI through advanced fraud detection, AML compliance, and operational optimization. As a Customer Success Manager (CSM), you will serve as a strategic partner to Fortune 500 clients in FinTech, Banking, and E-commerce, guiding adoption, value realization, and expansion. You will monitor detection performance, advise on best practices for machine learning models, rules engines, and device intelligence signals, and identify opportunities to reduce fraud and money laundering risks while optimizing operations. You’ll work cross-functionally with Product and Engineering to advocate for customer needs and support ongoing innovation. Responsibilities include onboarding and adoption, defining success criteria, coordinating with internal teams to deliver enhancements, and delivering quarterly business reviews. You will translate customer insights into actionable feedback for product roadmaps and help clients maximize return on investment. Represent the customer voice internally and the platform voice externally at events and workshops. Requirements: 3+ years in fraud strategy, risk analytics, customer success, or fraud operations in fintech, banking, payments, or e-commerce; experience with ML-based detection or rule engines; strong SQL; Python or R; excellent communication; strong project ownership; Bachelor’s degree; compensation EUR 40,000-80,000; remote.

DataVisor is the world’s leading AI-powered fraud and risk platform. This remote-based role, based in Ireland, partners with enterprise clients to drive ROI through advanced fraud detection, AML compliance, and operational optimization. As a Customer Success Manager (CSM), you will serve as a strategic partner to Fortune 500 clients in FinTech, Banking, and E-commerce, guiding adoption, value realization, and expansion. You will monitor detection performance, advise on best practices for machine learning models, rules engines, and device intelligence signals, and identify opportunities to reduce fraud and money laundering risks while optimizing operations. You’ll work cross-functionally with Product and Engineering to advocate for customer needs and support ongoing innovation. Responsibilities include onboarding and adoption, defining success criteria, coordinating with internal teams to deliver enhancements, and delivering quarterly business reviews. You will translate customer insights into actionable feedback for product roadmaps and help clients maximize return on investment. Represent the customer voice internally and the platform voice externally at events and workshops. Requirements: 3+ years in fraud strategy, risk analytics, customer success, or fraud operations in fintech, banking, payments, or e-commerce; experience with ML-based detection or rule engines; strong SQL; Python or R; excellent communication; strong project ownership; Bachelor’s degree; compensation EUR 40,000-80,000; remote.