Signifyd

HQ
San Jose
Total Offices: 8
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

8 Days AgoSaved
Remote
United States
Fintech • Machine Learning • Payments • Software • Financial Services
Leads and develops an engineering team building, deploying, and operating machine-learning models and services for fraud prevention. Owns roadmap delivery, technical decisions, reliability, testing, monitoring, and stakeholder communication. Partners with data scientists, ML engineers, product, risk, and engineering teams. Drives responsible AI-tool adoption, recruits and coaches engineers, manages priorities, and ensures scalable, high-quality production systems.
9 Days AgoSaved
Remote
United States
Fintech • Machine Learning • Payments • Software • Financial Services
Build and manage relationships with prospective and existing financial services partners, present tailored platform solutions, and represent Signifyd at industry and client events. Translate business needs into technical requirements and coordinate Product, Engineering, Legal, Sales, and partnerships teams. Manage client engagements, align internal milestones with external commitments, communicate roadmap timelines, shepherd contracts, identify risks, and drive resolution. Develop expertise in payments, e-commerce, fraud prevention, and the Signifyd platform.
11 Days AgoSaved
In-Office or Remote
London, Greater London, England, GBR
Fintech • Machine Learning • Payments • Software • Financial Services
Build and deploy production machine learning models and fraud decisioning tools. Partner with business teams to identify performance gaps, automate repetitive work, run experiments, and optimize transaction-risk strategies. Write production and analytical Python code, use SQL and distributed data platforms such as Spark, Databricks, and GCP, and communicate findings to technical and business audiences. Participate in code reviews, peer collaboration, and an on-call weekend rotation approximately six times annually.