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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.

Requirements

+ BS degree in Computer Science or related field required; MS/PhD preferred

+ Fluent in Java or C++ programming, with knowledge of Python; hands-on in coding, system design, and architecture

+ 3+ years of experience leading or managing teams

+ 8+ years of software development experience

+ Solid understanding of AI/ML concepts (unsupervised, supervised, and emerging approaches such as agentic AI); experience applying ML in production systems is a strong plus

+ Familiarity with relational databases, SQL, and ORM frameworks (JPA, Hibernate) is a plus

+ Experience with big data technologies (Cassandra, Flink, Spark, Kafka) preferred

+ Knowledge of the Spring Framework is a plus

+ Exposure to test-driven development and high-quality engineering practices

+ Excellent oral and written communication skills

+ Strong team spirit and collaboration mindset

Benefits

Why Join Us

+ Impact at Scale: Work on fraud detection systems processing billions of events daily.

+ Cutting-Edge Tech: Push the frontier in streaming, agentic AI, and big data infrastructure.

+ Career Growth: Lead a high-impact team with opportunities to shape technical direction and grow into senior leadership.