Jobs · Customer Service

Customer Success Manager - Fraud/AML Strategy

DataVisor · Mountain View, CA · 1 mo ago
RemoteRemoteCustomer ServiceFull-time

Job Summary

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 FinTech, Banking, and E-commerce, providing expert guidance on how to maximize value from our industry-leading SaaS platform.

Requirements

  • Act as the primary point of contact and trusted advisor for assigned enterprise customers, ensuring successful onboarding, adoption, and long-term value realization
  • Understand client business models, fraud/AML risk exposure, and operational needs to define success criteria and shape tailored solution strategies
  • Partner closely with clients to align our fraud detection and AML platform capabilities to their goals, driving measurable improvements in fraud prevention, loss reduction, and operational efficiency
  • Cross-functionally coordinate with Product and Engineering teams to advocate for customer needs and support ongoing innovation
  • Monitor detection performance metrics, support quarterly business reviews, and proactively identify opportunities for expansion or deeper integration
  • Translate customer insights into actionable feedback for internal roadmap planning and product improvements
  • Represent the voice of the customer internally and the voice of our platform externally, including participation in industry events, customer workshops, and solution showcases

Skillset Requirements

  • 3+ years of experience in fraud strategy, risk analytics, customer success, or fraud operations within fintech, banking, payments, or e-commerce industries
  • Deep understanding of fraud/AML use cases such as transaction fraud, account takeover, promotion abuse, synthetic identity fraud, or mule detection
  • Experience working with machine learning-based detection systems and/or rule engines for fraud prevention
  • Strong analytical skills; proficient with SQL, and experience in Python or R for data exploration and investigation
  • Excellent verbal and written communication skills; able to explain technical concepts to both technical and non-technical stakeholders
  • Confident in leading customer-facing discussions and executive presentations
  • Hightly organized with strong project ownership and time management skills; able to manage multiple enterprise accounts simultaneously

Benefits

  • Base salary
  • Bonus
  • PTO

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