Software Engineering Manager - Platform Team

Datavisor, Inc.
Mountain View, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 350K

Job location

Mountain View, United States of America

Tech stack

Java
Artificial Intelligence
Big Data
C++
Relational Databases
Fraud Prevention and Detection
Hibernate
Intrusion Detection and Prevention
Java Persistence API
Spring
Python
Machine Learning
Object-Relational Mapping
Software Engineering
SQL Databases
Test Driven Development
Spark
Build Management
Information Technology
Apache Flink
Cassandra
Real Time Data
Kafka
Machine Learning Operations
Virtual Agents

Job description

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 & conditions

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.

About the company

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.

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