Software Engineering Manager - Platform Team

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.

• 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

• 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.