DataVisor

HQ
Mountain View
112 Total Employees
Year Founded: 2013

DataVisor Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers occupational accident insurance

Offers disability insurance

Offers supplemental life insurance

Offers accidental death & dismemberment insurance

Offers company equity

Offers performance bonuses

Offers employee stock purchase plan

Offers employee discounts

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers dependent care

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Offers generous parental leave

Company Culture

Provides commuter benefits

Provides free snacks and drinks

Office is pet friendly

Utilizes a flexible work schedule

Offers diversity-based Employee Resource Groups

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Provides paid holidays

Career Growth + Development

Provides customized development tracks

Offers apprenticeship programs

Recently posted jobs

2 Days AgoSaved
In-Office
3 Locations
Artificial Intelligence • Cybersecurity
Develop and productionize fraud detection machine learning models using large-scale behavioral, device, network, and transaction data. Lead investigations into complex fraud attacks, reconstruct attacker behavior, identify trends, and produce technical reports and customer-facing insights. Collaborate with product, engineering, operations, legal, executives, and customers to improve detection systems and automate analytic workflows.
2 Days AgoSaved
In-Office
Mountain View, CA, USA
Artificial Intelligence • Cybersecurity
Develop and productionize fraud detection machine learning models, engineer features from large-scale behavioral and transaction data, and monitor model performance. Lead complex fraud investigations by reconstructing attacker behavior, identifying patterns, producing technical reports, and translating findings into detection improvements and customer-facing fraud trend insights. Collaborate with product, engineering, operations, legal, executives, and customers.
One Month AgoSaved
In-Office or Remote
Dublin, IRL
Artificial Intelligence • Cybersecurity
Lead the technical direction of a real-time fraud detection platform spanning streaming, storage, machine learning training pipelines, and AI-assisted engineering tools. Responsibilities include architecture, coding, code review, incident response, operational excellence, technical planning, mentoring, and cross-functional collaboration. The role requires hands-on development of distributed systems and establishing standards for safe, verifiable use of AI coding and agent tools.