Software Engineering Manager - Platform Team

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.

* 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

Compensation:
Annual salary range of USD $180,000 - $350,000, commensurate with experience.

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.