DataVisor

Software Engineering Manager - Platform Team

$180K–$350KFull-time · Mountain View, CA
✓ Verified live on the employer's own system · added 321 days ago
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Senior · 8+ yrs exp

Requirements

Education: Bachelor's degree or related field

Experience: 8+ years

Skills & tools

Machine LearningManagementTeam LeadershipCoachingJavaC Plus PlusPythonProgramming
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Full job description

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.

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