Customer Success Manager - Fraud/AML Strategy
Listed on 2026-09-18
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IT/Tech
Data Analyst, Data Scientist, Machine Learning/ ML Engineer
Customer Success Manager
Data Visor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, Data Visor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one.
Data Visor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. Data Visor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!
As a Customer Success Manager (CSM), you will serve as a strategic partner to key enterprise clients, helping them drive ROI through advanced fraud detection, AML compliance, and operational optimization. You'll lead customer engagements across a portfolio of Fortune 500 companies in Fin Tech, Banking, and E-commerce, providing expert guidance on how to maximize value from our industry-leading SaaS platform.
Your responsibilities include monitoring detection system performance, advising on best practices for using machine learning models, rules engine, and device intelligence signals, and identifying opportunities to reduce fraud or money laundering risks and streamline operations. You'll work cross-functionally with Product and Engineering teams to advocate for customer needs and support ongoing innovation.
This role combines strategic consulting, data-driven decisioning, and hands-on product expertise to deliver measurable impact for our clients.
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