Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Качественная роль в передовом AI-домене с четким scope и фокусом на работу с крупнейшими мировыми компаниями.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Customer Success Manager (Fintech): Managing enterprise customer engagements for an AI-powered fraud detection and AML SaaS platform with an accent on fraud strategy, risk analytics, and customer value realization. Focus on monitoring detection performance, guiding machine learning and rule-engine usage, coordinating product improvements, and reducing fraud and money laundering risks.
Location: Remote, Mountain View, California, United States
Company
hirify.global provides an AI-powered SaaS platform for fraud detection, anti-money laundering, device intelligence, and real-time risk management for enterprise organizations.
What you will do
Serve as the primary point of contact and trusted advisor for assigned enterprise customers, leading onboarding, adoption, and long-term value realization.
Understand customer business models, fraud and AML exposure, and operational needs to define success criteria and tailored solution strategies.
Guide customers in using fraud detection, machine learning models, rule engines, and device intelligence to improve fraud prevention, loss reduction, and operational efficiency.
Monitor detection performance metrics, support quarterly business reviews, and identify opportunities for expansion or deeper integration.
Coordinate with Modeling, Product, and Engineering teams on enhancements, issue resolution, detection optimization, and roadmap feedback.
Represent customer and platform perspectives through customer workshops, industry events, executive discussions, and solution showcases.
Requirements
3+ years of experience in fraud strategy, risk analytics, customer success, or fraud operations within fintech, banking, payments, or e-commerce.
Deep understanding of fraud and AML use cases, including transaction fraud, account takeover, promotion abuse, synthetic identity fraud, or mule detection.
Experience with machine learning-based detection systems and/or rule engines for fraud prevention.
Strong analytical skills and proficiency with SQL, plus experience using Python or R for data exploration and investigation.
Excellent verbal and written communication skills, including the ability to explain technical concepts to technical and non-technical stakeholders.
Confidence leading customer-facing discussions and executive presentations.
Strong organization, project ownership, and time management skills, with the ability to manage multiple enterprise accounts simultaneously.
Bachelor’s degree in a technical, analytical, or business-related field.
Nice to have
Advanced degree.
Culture & Benefits
Remote workplace.
Open, positive, collaborative, and results-driven culture.
Base salary, bonus, and paid time off.
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