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
- Design & Build: Architect and deliver a large-scale, AI-based fraud and risk decision platform.
- Innovate in Fraud Detection: Apply unsupervised, supervised, and agentic AI methods to uncover and stop fraudulent behavior.
- Unify Decisioning: Drive the development of a real-time and batch unified decision platform that powers enterprise-scale fraud prevention.
- Scale Infrastructure: Build and optimize distributed, real-time data systems for low-latency decisioning.
- Leverage Big Data: Utilize Spark, Flink, Cassandra, and related technologies to enable high-throughput ML pipelines.
- Lead & Mentor: Manage, coach, and grow a team of engineers, fostering technical excellence and professional development.
