Offer summary

Qualifications:

Minimum 10 years of experience in banking, payment, social, or e-commerce industries in customer-facing technical roles., Bachelor's degree in a technical or analytical discipline., Strong communication and presentation skills., Experience in fraud detection and risk management is advantageous..

Key responsibilities:

Manage client relationships and act as a trusted technical advisor.

Oversee data integration and onboarding processes for clients.

Provide technical support, guidance, and resolution of platform issues.

Collaborate with cross-functional teams to ensure customer success and platform optimization.

Job description

About DataVisor

DataVisor is the world’s leading AIpowered 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, DataVisors solution scales infinitely and enables organizations to act on fastevolving fraud and money laundering activities in realtime. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide guaranteed performance lift from day one. The flexible architecture of DataVisors platform allows enterprises to power sophisticated and complex use cases across different businesses while dramatically lowering the total cost of ownership. DataVisor is recognized as an industry leader and has been adopted by Fortune 500 companies globally across many industries.

Our awardwinning software platform is powered by a team of worldclass experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and resultsdriven. Come join us!

Position Overview

As a Senior Technical Account Manager (TAM), 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 assessingdebugging 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 andor automation rules to detect suspicious activities. You will work crossfunctionally 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 rulebased solutions for customers’ fraud problems
Lead solution deployment deep dive discussions in late stage presales 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