Director of Technical Account Management & Customer Success

Director Of Technical Account Management And Customer Success

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) and 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