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Software Engineering Manager - Platform Team

Software Engineering Manager - Platform Team

ZipRecruiterMountain View, CA, United States
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Overview

DataVisor is a next- 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- 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
  • 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)
  • 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.

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    Engineering Manager Platform • Mountain View, CA, United States

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