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.Please read the information in this job post thoroughly to understand exactly what is expected of potential candidates.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 SummaryWe 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 DoDesign & 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 preferredFluent in Java or C++ programming, with knowledge of Python; hands-on in coding, system design, and architecture3+ years of experience leading or managing teams8+ years of software development experienceSolid understanding of AI/ML concepts (unsupervised, supervised, and emerging approaches such as agentic AI); experience applying ML in production systems is a strong plusFamiliarity with relational databases, SQL, and ORM frameworks (JPA, Hibernate) is a plusExperience with big data technologies (Cassandra, Flink, Spark, Kafka) preferredKnowledge of the Spring Framework is a plusExposure to test-driven development and high-quality engineering practicesExcellent oral and written communication skillsStrong team spirit and collaboration mindsetWhy Join UsImpact 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. xmcpwfuCareer Growth: Lead a high-impact team with opportunities to shape technical direction and grow into senior leadership.