Software Engineering Manager
DataVisor
Software Engineering Manager
DataVisor
Real-time fraud detection & risk management
DataVisor · Mountain View, United States (Hybrid) · Full-time · Posted 2025-09-22
Salary: USD 180,000–350,000
Workplace: hybrid
Department: Engineering
DataVisor is a next-generation SaaS company that protects the world’s largest enterprises from fraud and money laundering. Our award-winning AI decision platform combines industry-leading unsupervised machine learning (UML) with advanced supervised models to stop fraudulent activity across financial transactions, mobile growth, social networks, and e-commerce.
We partner with leading global brands, delivering solutions built on top of our highly scalable platform. Behind these innovations is a world-class team of experts in big data, security, and distributed infrastructure, thriving in a culture that is open, collaborative, and results-driven.
Join us and help push the boundaries of what’s possible in fraud detection.
Role Summary
We are seeking a Software Engineering Manager to lead our Platform Engineering team. This team is at the heart of DataVisor’s detection capabilities, building the AI-based fraud and risk decision platform that powers real-time and batch unified decisioning at enterprise scale.
You will manage a talented team of engineers while also contributing to the design and development of our next-generation AI agent driven infrastructure. Together, you’ll enable our customers to detect and stop complex fraud patterns in real time.
What You’ll Do
Compensation: Annual salary range of USD $180,000 – $350,000, commensurate with experience.
Why Join Us
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DataVisor offers a fraud detection and risk management platform for fintech and cybersecurity, helping financial institutions, e-commerce platforms, and online services detect and prevent fraudulent activity in real time. The core product integrates with clients’ existing data systems through APIs, supporting real-time or batch data processing to identify suspicious patterns. Machine learning analyzes large datasets to spot indicators of fraud and continuously improve detection accuracy. The company differentiates itself by providing a flexible, API-based integration that fits into clients’ current workflows and data environments, enabling real-time prevention across diverse use cases. Revenue comes from a subscription model that gives clients ongoing access to the platform and updates. The goal is to help organizations protect their operations and customers by staying ahead of increasingly sophisticated fraud schemes.
Explore more opportunities at DataVisor