Software Engineering Manager - Platform Team
Listed on 2026-08-05
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Software Development
AI Engineer (Applied/Software), Software Project Mgr/ Lead, Machine Learning/ ML Engineer
Software Engineering Manager
Data Visor 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 Data Visor'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.
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