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Senior Product Manager

Negotiable Salary

DataVisor

Mountain View, CA, USA

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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. Requirements Fraud and AML Industry Expertise: 10+ years of experience in fraud/AML, with a deep understanding of industry landscapes and key providers Banking core integration experience 5+ years of experience in integration with banking cores Technical integration experience Experience in data checking, SQL, database operations, SFTP, real-time REST API, etc. Agile Methodologies: Familiarity with agile software development frameworks (e.g., Scrum) and real-world experience in fast-paced environments. Machine Learning & Big Data Knowledge is a plus: Practical experience with machine learning, big data, cloud services, and SaaS-based systems. Startup Mindset: Comfortable thriving in a dynamic, fast-paced startup setting. Benefits We offer a flexible schedule with competitive pay, equity participation, and health benefits, along with catered lunch, company off-sites, and game nights, as well as the opportunity to work with a world-class team. If you’re passionate about combating financial crime through innovation and want to help shape the future of AML technology, we’d love to hear from you!

Source:  workable View Original Post

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Mountain View, CA, USA
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