Director of Engineering, DataVisor
$200-380k
Office located in Mountain View, CA
Fraud & AML detection platform
Be an early applicant
Fraud & AML detection platform
101-200 employees
Be an early applicant
$200-380k
Office located in Mountain View, CA
101-200 employees
Company mission
To build and restore trust online.
Role
Who you are
- 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
What the job involves
- 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.
- 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
- 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
Our take
As use of the internet rises, so too does the opportunity for fraud - with criminals exploiting the gaps that come with novel digital environments. DataVisor provides a fraud detection solution that leverages machine learning to identify threats. This helps to overcome the security gap caused by the speed at which today’s digital fraudsters evolve.
Traditional fraud solutions were not designed to handle digital data, and are ill-equipped to deal with quickly changing environments. By employing advanced ML, DataVisor can identify patterns which suggest fraudulent behaviour, allowing organisations to respond immediately and prevent losses before they happen.
Another problem has been that, in the name of security, systems might delay good customers from accessing services. With DataVisor, however, this becomes a non-issue, as the pattern of a non-malicious user can also be identified with speed.
DataVisor has seen considerable investment that has fuelled its continued expansion. It also boasts an impressive list of customers and partnerships. For example, a partnership with Equifax allowed it to extend it analytics and fraud detection capabilities. It has also launched the industry’s first unified, AI-powered SAR filing solution.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Dec 2022
$40m
LATE VC
Feb 2018
$40m
SERIES C
Total funding: $94.5m
Company benefits
- Stock Options
- Commuter Passes
- Paid Time Off
- Catered Lunch and Dinner
- Team and Company Outings
Company HQ
Mountain View, CA
Leadership
Yinglian Xie
(CEO & Co-founder)Extensive experience in security and AI. Previously a Senior Researcher at Microsoft Research.
Fang Yu
(CPO & Co-founder)Former Senior Researcher at Microsoft Research, with vast experience in big-data algorithms.
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