About Us

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 solution scales infinitely and enables 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 guaranteed 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

We are looking for a Pre-sales Solution Architect to lead the solution architecting and integration scoping in the mid-to-late stage of the pre-sales cycles. You will be driving technical  discussions and deep dives with the customers’ risk business teams (Fraud and AML), data team, system architect team, Engineering team, and info security team, to present DataVisor system architecture and integration options, discover integration-related business and technical needs, design and propose integration architecture. You will use your strong business acumen and technical knowledge to get to alignments with the customers, and document the integration proposals for the post-sales execution to be based on. You will provide proper handover to post-sales teams e.g. Delivery, Customer Success, Data Science, to ensure they fully understand the scope, business requirements and integration plan.You remain as a big stakeholder in the deployment phase and see it through to make sure the customers get the expected outcome from the integration plan. You will work closely with multiple teams within DataVisor, e.g. Account Executives (AE), Sales Engineers (SE), Delivery, Product, Engineering, Customer Success, and Data Science..