DataVisor

Real-time fraud detection & risk management

Director of Engineering

Engineering LeadershipConfirmed live in the last 24 hours

Full-timeMountain View, CA, USA$200k - $380k /yrHybrid

About the Job

Requirements

A bachelor's degree in Computer Science or a related field is required; a master's or PhD is preferred.
At least 10 years of software development experience, including substantial experience leading engineering teams and organizations.
At least 5 years of experience managing teams, with demonstrated success leading senior engineers and/or engineering managers.
Fluency in Java or C++, knowledge of Python, and a strong background in system design, architecture, and scalable distributed systems.
A solid understanding of AI and machine learning concepts, including unsupervised, supervised, and emerging approaches such as agentic AI; experience applying machine learning in production systems is strongly preferred.
Familiarity with modern AI systems, including large language model-powered applications, model evaluation, prompt-driven workflows, and agent-based system design.
Experience leading large-scale platform or infrastructure initiatives in high-growth or technically complex environments.
Strong track record of operational excellence, cross-functional collaboration, and execution against ambitious goals.
Excellent oral and written communication skills, including the ability to influence technical and business audiences.

Responsibilities

Define the technical vision and execution roadmap for the Platform Engineering team in alignment with company priorities and long-term product strategy.
Build, manage, coach, and grow a high-performing team of engineers and engineering leaders, fostering technical excellence, strong execution, and career development.
Oversee the design and delivery of a large-scale, AI-based fraud and risk decision platform supporting enterprise-grade real-time and batch decisioning.
Partner across engineering and data science to apply unsupervised, supervised, and agentic AI methods to uncover and stop fraudulent behavior.
Lead development of a real-time and batch unified decision platform for enterprise-scale fraud prevention.
Guide the evolution of distributed, real-time data systems for low-latency, highly reliable decisioning.
Drive adoption and effective use of Spark, Flink, Cassandra, Kafka, and related technologies to support high-throughput machine learning and data pipelines.
Work with product, infrastructure, security, customer-facing teams, and executive leadership to align engineering delivery with business needs.
Establish engineering processes, operational rigor, architecture reviews, and high-quality development practices across the organization.
Attract top engineering talent and build an inclusive, high-accountability culture that supports growth, ownership, and innovation.

Desired Qualifications

Experience leading engineering teams that build AI-enabled products, data-intensive platforms, or machine learning infrastructure.
Familiarity with relational databases, SQL, and ORM frameworks such as JPA and Hibernate.
Experience with big data technologies including Cassandra, Flink, Spark, and Kafka.
Knowledge of the Spring Framework.

Director of Engineering

DataVisor · Mountain View, United States (Hybrid) · Full-time · Posted 2026-07-30

Salary: USD 200,000–380,000

Workplace: hybrid

Department: Engineering

Description

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 Director of Engineering 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 lead and grow a high-performing engineering organization, set technical direction, and drive execution across a critical part of DataVisor’s platform. Working closely with product, data science, infrastructure, and executive leadership, you will help shape our next-generation AI agent driven infrastructure and enable our customers to detect and stop complex fraud patterns in real time.

What You’ll Do

Define Strategy & Roadmap: Set the technical vision and execution roadmap for the Platform Engineering team in alignment with company priorities and long-term product strategy.
Lead at Scale: Build, manage, coach, and grow a high-performing team of engineers and engineering leaders, fostering technical excellence, strong execution, and career development.
Architect & Deliver: Oversee the design and delivery of a large-scale, AI-based fraud and risk decision platform that supports enterprise-grade real-time and batch decisioning.
Drive Innovation in Fraud Detection: Partner across engineering and data science to apply unsupervised, supervised, and agentic AI methods to uncover and stop fraudulent behavior.
Unify Decisioning: Lead the development of a real-time and batch unified decision platform that powers enterprise-scale fraud prevention.
Scale Infrastructure: Guide the evolution of distributed, real-time data systems for low-latency, highly reliable decisioning.
Leverage Big Data: Drive adoption and effective use of Spark, Flink, Cassandra, Kafka, and related technologies to support high-throughput ML and data pipelines.
Partner Cross-Functionally: Work closely with product, infrastructure, security, customer-facing teams, and executive leadership to align engineering delivery with business needs.
Raise the Bar: Establish strong engineering processes, operational rigor, architecture reviews, and high-quality development practices across the organization.
Hire & Develop Talent: Attract top engineering talent and build an inclusive, high-accountability culture that supports growth, ownership, and innovation.

Requirements

BS degree in Computer Science or related field required; MS/PhD preferred
10+ years of software development experience, including substantial experience leading engineering teams and organizations
5+ years of experience managing teams, with demonstrated success leading senior engineers and/or engineering managers
Fluent in Java or C++ programming, with knowledge of Python; strong background in system design, architecture, and scalable distributed systems
Solid understanding of AI/ML concepts (unsupervised, supervised, and emerging approaches such as agentic AI); experience applying ML in production systems is strongly preferred
Familiarity with modern AI systems, including LLM-powered applications, model evaluation, prompt-driven workflows, and agent-based system design
Experience leading engineering teams that build AI-enabled products, data-intensive platforms, or ML infrastructure is a strong plus
Experience leading large-scale platform or infrastructure initiatives in high-growth or technically complex environments
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
Strong track record of operational excellence, cross-functional collaboration, and execution against ambitious goals
Excellent oral and written communication skills, including the ability to influence across technical and business audiences
Strong team spirit, sound judgment, and a leadership mindset grounded in collaboration and accountability

Benefits

Compensation: Annual salary range of USD $200,000 – $380,000, 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.

Apply

Apply at DataVisor

About the Company

DataVisor

Real-time fraud detection & risk management

DataVisor offers a fraud detection and risk management platform for fintech and cybersecurity, helping financial institutions, e-commerce platforms, and online services detect and prevent fraudulent activity in real time. The core product integrates with clients’ existing data systems through APIs, supporting real-time or batch data processing to identify suspicious patterns. Machine learning analyzes large datasets to spot indicators of fraud and continuously improve detection accuracy. The company differentiates itself by providing a flexible, API-based integration that fits into clients’ current workflows and data environments, enabling real-time prevention across diverse use cases. Revenue comes from a subscription model that gives clients ongoing access to the platform and updates. The goal is to help organizations protect their operations and customers by staying ahead of increasingly sophisticated fraud schemes.

Company size: 51-200
Company stage: Late Stage VC
Total funding: $94.5M
Headquarters: Mountain View, CA
Founded: 2013

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