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
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.
Skills Required
- BS degree in Computer Science or related field required
- Fluent in Java or C++ programming, with knowledge of Python
- 3+ years of experience leading or managing teams
- 8+ years of software development experience
- Solid understanding of AI/ML concepts
- Experience with big data technologies (Cassandra, Flink, Spark, Kafka) preferred
- Excellent oral and written communication skills
What We Do
DataVisor is a leading AI-Powered fraud and risk management platform that enables organizations to respond to fast-evolving cyber attacks and mitigate risks as they happen in real time. Our mission is to protect large consumer facing enterprises protect their business and their customers from digital threats and restore trust and safety online. DataVisor is venture-backed by New View Capital and Sequoia and is Series- C funded. It is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
