Sr. Customer Success Manager - Fraud/AML Strategy

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Sr. Customer Success Manager - Fraud/AML Strategy in U.S. or Canada.

As a Senior Customer Success Manager, you will serve as a strategic partner to enterprise clients in FinTech, banking, and e-commerce, helping them optimize their fraud detection and AML compliance strategies. You will work closely with key clients to understand their business needs, manage fraud risk, and drive ROI through advanced machine learning models and operational optimization. You’ll collaborate with internal teams to ensure customer success, product enhancements, and identify new opportunities for long-term value realization. This role requires strong consulting skills, data-driven decision-making, and expertise in fraud prevention.

Accountabilities:

• Act as the primary point of contact and trusted advisor for assigned enterprise customers, ensuring successful onboarding, adoption, and value realization.
• Partner with clients to define success criteria, develop tailored solutions, and optimize fraud prevention and AML compliance strategies.
• Collaborate with internal teams, including Product, Engineering, and Modeling, to deliver enhancements and resolve issues, ensuring alignment with client goals.
• Monitor detection system performance, analyze metrics, and identify opportunities for continuous improvement.
• Educate clients on fraud/AML best practices and platform usage, facilitating customer success through quarterly reviews and proactive engagement.
• Represent the voice of the customer internally, providing actionable insights to drive product innovation and roadmap improvements.

• 5+ years of experience in fraud strategy, risk analytics, or customer success in fintech, banking, payments, or e-commerce industries.
• In-depth knowledge of fraud/AML use cases, including transaction fraud, account takeover, synthetic identity fraud, and mule detection.
• Hands-on experience with machine learning-based detection systems or rule engines for fraud prevention.
• Strong analytical skills with proficiency in SQL and experience with Python or R for data analysis and investigation.
• Excellent communication skills, able to present technical concepts to both technical and non-technical stakeholders.
• Proven ability to manage multiple enterprise accounts, with strong project management and time management skills.
• Bachelor’s degree in a technical, analytical, or business-related field; advanced degree is a plus.

• Competitive salary with performance-based bonuses
• Stock options and retirement plan
• Health insurance coverage
• Flexible remote work options
• Opportunities for career development and professional growth
• Generous paid time off and holiday schedule

Jobgether hiring process disclaimer

This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.

Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.

Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.

If you are among the top 5 candidates, you will be notified within 7 days.
If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.

Thank you for your interest!

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