Customer Success Manager (Fraud & Risk)

TL;DR

Customer Success Manager (Fraud & Risk): Managing strategic partnerships with Fortune 500 clients in FinTech, Banking, and E-commerce to drive ROI through advanced fraud detection and AML compliance with an accent on data-driven decisioning and product expertise. Focus on optimizing ML-based detection systems, translating customer insights into product roadmaps, and reducing financial risk.

Location: Remote (USA) / Mountain View, California

Company

AI-powered Fraud and Risk Platform delivering industry-leading detection coverage via an open SaaS platform adopted by Fortune 500 companies.

What you will do

• Serve as a strategic partner and trusted advisor for enterprise customers, overseeing onboarding and long-term value realization.
• Align fraud detection and AML platform capabilities with client goals to reduce losses and improve operational efficiency.
• Collaborate with Modeling, Product, and Engineering teams to resolve issues and optimize detection outcomes.
• Analyze detection performance metrics and lead quarterly business reviews for key accounts.
• Translate customer feedback into actionable insights for internal product roadmap planning.
• Educate clients on best practices for ML models, rules engines, and device intelligence signals.

Requirements

• 3+ years of experience in fraud strategy, risk analytics, or customer success within Fintech, Banking, or E-commerce.
• Deep expertise in fraud/AML use cases such as account takeover, synthetic identity fraud, or mule detection.
• Experience working with machine learning-based detection systems or rule engines for fraud prevention.
• Proficiency in SQL; experience with Python or R for data exploration and investigation.
• Strong communication skills for leading executive presentations and technical discussions.
• Bachelor's degree in a technical, analytical, or business-related field.

Culture & Benefits

• Competitive base salary and bonus.
• Paid Time Off (PTO).
• Open, positive, and collaborative work environment.
• Opportunity to work with a world-class team of experts in big data and ML.