Signifyd

HQ
San Jose
Total Offices: 5
450 Total Employees
Year Founded: 2011

Signifyd Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Provides a pension

Offers accidental death & dismemberment insurance

Offers disability insurance

Offers charitable contribution matching

Offers supplemental life insurance

Offers company equity

Offers performance bonuses

Offers dental insurance

Offers health insurance

Offers mental health benefits

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

Utilizes a flexible work schedule

Offers a remote work program

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

Offers unpaid extended leave

Provides paid holidays

Provides bereavement leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Recently posted jobs

18 Hours AgoSaved
In-Office or Remote
2 Locations
Fintech • Machine Learning • Payments • Software • Financial Services
Manage a portfolio of high-value accounts to drive retention, net retention, and expansion. Serve as trusted advisor on fraud, e-commerce, and payments; conduct onsite visits; lead renewals and expansions; deliver business reviews; resolve issues via cross-functional collaboration; represent Signifyd at events and optimize customer outcomes.
3 Days AgoSaved
Remote
United States
Fintech • Machine Learning • Payments • Software • Financial Services
Lead design, implementation, and operation of Signifyd's GCP/Kubernetes cloud platform. Architect scalable, secure infrastructure, embed AI-driven automation, own SLOs and incident response, improve developer experience via CI/CD/GitOps tooling, mentor engineers, manage cloud capacity/FinOps, and build observability and security into the platform.
Fintech • Machine Learning • Payments • Software • Financial Services
The Machine Learning Engineer II builds production ML models to detect fraud, collaborates on engineering teams, and improves the commerce protection platform.