Mountain View, California, USA
13 days ago
Senior Product Manager

DataVisor is the world’s leading AI-powered Fraud and Risk Platform, providing unparalleled detection coverage for fast-evolving fraud and money laundering activities. Our open SaaS platform easily consolidates and enriches data at scale, enabling organizations to respond to new threats in real-time. Featuring patented unsupervised machine learning technology, advanced device intelligence, a powerful decision engine, and comprehensive investigation tools, DataVisor’s solution delivers an immediate and guaranteed performance lift from day one.

Our platform is flexible enough to support multiple use cases across different business units—significantly reducing the total cost of ownership compared to legacy solutions. Recognized as an industry leader, DataVisor proudly counts many Fortune 500 companies among its global customer base.

Position Overview

We are seeking an experienced Product Manager to guide the integration of the DataVisor system with third-party systems and delivery strategies of out-of-the-box solutions. In this highly visible and strategic role, you will define DataVisor’s strategic partnership for various banking core processing systems, online banking systems, other transaction processing systems, or third-party data providers.

Responsibilities

Define and Execute the DataVisor Data Integration Roadmap. The focus is on banking core processing systems, online banking systems, other transaction processing systems, or third-party data providers.

Define and guide the product delivery. Work with the delivery team to make sure the delivery process follows the proper procedure and that customers enjoy a smooth and speedy delivery of the product and realize the value of the product

Work with engineering to develop tools and systems for easy onboarding, and collaborate with the data science team to develop systems that automatically check data quality.

Transform traditional data checking, data mapping, and integration processes with AI.


Cross-Functional Collaboration. Work closely with engineering teams to prioritize product features and ensure timely, high-quality releases. Collaborate with QA to validate functionality and performance.

Value-based customer onboarding and Go-to-Market partnership with marketing, creating compelling content and sales enablement materials.

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