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

12 Hours AgoSaved
In-Office
Mountain View, CA, USA
Artificial Intelligence • Cybersecurity
Lead and grow the Platform Engineering team to design, architect, and deliver a large-scale AI-driven fraud and risk decisioning platform. Set technical vision and roadmap, drive adoption of big data and real-time systems, collaborate with product and data science, enforce engineering rigor, and hire and develop senior engineering talent.
3 Days AgoSaved
In-Office or Remote
Mountain View, CA, USA
Artificial Intelligence • Cybersecurity
Lead technical and strategic engagements in fraud detection, data analysis, and risk strategy development using DataVisor's platform. Collaborate cross-functionally and manage client projects for improved fraud prevention and operational efficiency.
3 Days AgoSaved
In-Office or Remote
Mountain View, CA, USA
Artificial Intelligence • Cybersecurity
Serve as strategic partner to enterprise clients to drive ROI from an AI-powered fraud and AML SaaS platform. Lead onboarding, monitor detection performance, advise on ML and rule-engine strategies, coordinate with product and engineering, deliver business reviews, and educate customers on fraud/AML best practices to reduce risk and optimize operations.