About the job
About DataVisor
DataVisor stands as the premier AI-driven Fraud and Risk Platform globally, renowned for providing unparalleled detection capabilities in the industry. Our open SaaS platform enables seamless data consolidation and enrichment, empowering organizations to respond swiftly to evolving fraud and money laundering threats in real-time. Utilizing patented unsupervised machine learning technology, advanced device intelligence, a robust decision engine, and comprehensive investigation tools, we guarantee a performance enhancement from day one. The adaptable architecture of our platform supports complex use cases across diverse industries while significantly reducing total ownership costs. DataVisor has earned recognition as a leader in the field, embraced by Fortune 500 companies worldwide.
Our award-winning software is backed by a team of elite experts in big data, machine learning, security, and scalable infrastructure. We foster an open, positive, collaborative, and results-oriented culture. Join us to make a difference!
Position Overview
As a Senior Technical Account Manager (TAM), you will oversee a portfolio of client relationships, establishing yourself as a trusted advisor and solution partner for key leaders within customers' fraud and risk teams. Collaborating with our Delivery Team, you will manage the data integration and onboarding process for customers. Your primary objective is to ensure that clients adopt best practices in implementing our platform, maximizing their investment's value. Your responsibilities will encompass a wide array of topics, from assessing and troubleshooting platform performance or functionality issues to providing technical guidance and best practices, as well as advising on the use of custom or DataVisor-developed machine learning models and automation rules to detect suspicious activities. You will work cross-functionally with Customer Success, Engineering, and Product teams to achieve your goals.
Key Responsibilities
- Deliver product support and resolve technical issues.
- Design machine learning and rule-based solutions for clients’ fraud challenges.
- Facilitate deep dive solution deployment discussions during late-stage pre-sales calls.
- Comprehend client use cases and craft plans to meet success criteria.
- Oversee the integration and product implementation process for customers.
- Conduct and coordinate business reviews and presentations with clients.
- Influence product roadmap by conveying client feedback to internal teams.
- Represent the company as a technical ambassador at meetups, events, and conferences.
