Publié il y a 4 mois
Sr. Customer Success Manager - Fraud/AML Strategy
@ DataVisor
Vancouver, Colombie-Britannique
En bref
DataVisor is hiring a Senior Customer Success Manager to act as a strategic partner to enterprise fraud and AML clients on its SaaS platform. The role monitors detection performance, advises on machine learning and rules-engine use, and runs quarterly business reviews. It is remote in the U.S. or Canada, preferably Pacific Time, with a salary of C$135,000 to C$160,000 plus bonus and health insurance.
Salaire :
135 000 $–160 000 $ par année
Responsabilités :
- Serve as primary contact and trusted advisor for enterprise customers
- Align fraud and AML platform capabilities with client goals
- Monitor detection performance and support quarterly business reviews
- Coordinate with Modeling, Product and Engineering teams
- Educate clients on fraud and AML best practices
Résumé des exigences :
- 5+ years in fraud strategy, risk analytics or customer success
- Experience with machine learning or rules-based fraud detection
- Proficient in SQL and Python or R
- Strong written and verbal communication skills
- Bachelor's degree in a technical, analytical or business field
Outils et compétences
Source et dates
Site carrière / système de candidatures · workable
- Date publiée par l’employeur
- 2026-07-24
- Première détection par notre source
- 2026-10-09
- Mise à jour du dossier source
- 2026-10-16
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Service à la clientèle |
| Expérience | 5 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Déplacements | avion : minimes |
| Milieu de travail | Domicile, Chez les clients |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé) |
| Domaines d’études | technical, analytical, business-related |
| Avantages mentionnés | Prime de rendement |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
DataVisor
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
The most powerful AI fraud and AML detection platform trusted by the world's largest brands.
Description complète de l’entreprise
DataVisor is the AI-native real-time decisioning engine for fraud and financial crime prevention. As AI transforms both fraud attacks and fraud defense, DataVisor helps financial institutions, payment providers, and digital businesses detect, investigate, and stop sophisticated and previously unseen threats in milliseconds across billions of transactions. Combining adaptive machine intelligence, consortium intelligence, and emerging agentic AI capabilities, DataVisor enables organizations to modernize fraud operations, improve customer experience, and stay ahead of rapidly evolving financial crime. DataVisor is trusted by leading financial institutions, payment innovators, Fortune 500 enterprises, and digital businesses worldwide.
- Abonnés LinkedIn
- 66 918
- Personnes associées sur LinkedIn
- 164
- Bureaux déclarés
- 967 N Shoreline Blvd, Mountain View, California 94043, US
- Catégories d’activité
- Cyber Security
- Fraud Detection
- Artificial Intelligence
- Software
- Internet
- Security
- Artificial Intelligence (AI)
- Big Data
- Machine Learning
- Autres noms enregistrés
- DataVisor
- Spécialités
- Fraud Detection
- Fraud Prevention
- Artificial Intelligence
- Unsupervised Machine Learning
- Machine Learning
- AI Solutions
- Anti-Money Laundering
- Fraud Protection
- Agentic AI
- AI Fraud Detection
- and Real-time Decisioning
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 94 500 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
DataVisor is the AI-native real-time decisioning engine for fraud and financial crime prevention. As AI transforms both fraud attacks and fraud defense, DataVisor helps financial institutions, payment providers, and digital businesses detect, investigate, and stop sophisticated and previously unseen threats in milliseconds across billions of transactions. Combining adaptive machine intelligence, consortium…
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 51-200 employees |
| Siège social | Mountain View, California |
| Type d’organisation | Privately Held |
| Fondée en | 2013 |
| Spécialités | Fraud DetectionFraud PreventionArtificial IntelligenceUnsupervised Machine LearningMachine LearningAI SolutionsAnti-Money LaunderingFraud ProtectionAgentic AIAI Fraud Detection |
| Offres sur Jobsy | 18 |
| Voir la page |
DataVisor 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, DataVisor'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. DataVisor'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. DataVisor 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!
Position Overview:
As a Senior 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.
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 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.
Job Location:
This is a remote-based position and can be located in the U.S. or Canada, preferably in the Pacific Time Zone.
Key Responsibilities:
- 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
- Coordinate with internal teams (including Modeling, Product, and Engineering) to ensure timely delivery of enhancements, issue resolution, and optimization of detection outcomes
- Translate customer insights into actionable feedback for internal roadmap planning and product improvements
- Monitor detection performance metrics, support quarterly business reviews, and proactively identify opportunities for expansion or deeper integration
- Educate clients on best practices in fraud/AML strategies and platform usage to maximize return on investment
- Represent the voice of the customer internally and the voice of our platform externally, including participation in industry events, customer workshops, and solution showcases
- 5+ 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
- Highly organized with strong project ownership and time management skills; able to manage multiple enterprise accounts simultaneously
- Bachelor’s degree in a technical, analytical, or business-related field; advanced degree a plus
- Compensation: Annual salary range of C$135,000 – $160,000, commensurate with experience.
- Bonus, Health Insurance
Journal
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