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 Director of Technical Account Management (TAM) & Customer Success (CS), you will manage a portfolio of client relationships and establish yourself as a trusted technical advisor and solution partner for the key leaders within the customer’s fraud and risk teams. You will partner with our Delivery Team to oversee the customer’s data integration and onboarding process. Your goal is to ensure that the customer adopts best practices in the implementation of our platform to ensure they extract the maximum value from their investment. You will engage in broad ranging topics from assessing/debugging platform performance or product functional issues, provide technical guidance and best practices, or advise on customer’s use of custom or DataVisor built machine learning models and/or automation rules to detect suspicious activities. You will work cross-functionally with Customer Success, Engineering, and Product teams to achieve your goals.
Key Responsibilities
Provide product support, escalation, and resolution of technical issues
Architect machine learning and rule-based solutions for customers’ fraud problems
Lead solution deployment deep dive discussions in late stage pre-sales calls
Understand client use cases and define plans to achieve success criteria
Manage integration and product implementation process for customers
Conduct and coordinate business reviews and presentations with clients
Drive product roadmap by communicating client feedback to internal teams
Attend meetups, events, and conferences as a technical ambassador
Requirements
10+ years of experience in banking, payment, social, or e-commerce industries, as customer facing technical roles e.g. technical account manager or solution consultant
B.A./B.S. degree in a technical or analytical discipline
Excellent communication and presentation skills
Strong time and project management ability with focus to ensure deadlines are met
Experience in fraud detection and risk management is a big plus
Coding and database experience (e.g. Python, Java, SQL) a plus
Benefits
Bonus, PTO, Stock Option, Health Benefits