PayJoy

HQ
San Francisco
617 Total Employees
Year Founded: 2015

PayJoy Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers disability insurance

Offers accidental death & dismemberment insurance

Offers company equity

Offers dental insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers Flexible Spending Account (FSA)

Offers vision insurance

Provides family medical leave

Offers generous parental leave

Company Culture

Provides commuter benefits

Provides free snacks and drinks

Office is pet friendly

Provides a mobile phone discount

Offers a remote work program

Career Growth + Development

Provides customized development tracks

Job training & conferences

Provides tuition assistance

Work-Life Balance + Wellbeing

Offers generous PTO

Provides paid sick days

Offers unpaid extended leave

Provides paid holidays

Provides bereavement leave

Offers gym membership

Recently posted jobs

18 Hours AgoSaved
Hybrid
San Francisco, CA, USA
Financial Services
Provides Tier 1–2 helpdesk support, troubleshoots hardware, software, operating systems, networks, and SaaS applications, and supports cloud administration, identity access, IT asset lifecycle management, onboarding, offboarding, endpoint security, patching, vulnerability remediation, audits, and compliance. The role also assists with video conferencing systems, automation, maintenance projects, and periodic support travel.
11 Days AgoSaved
In-Office
San Francisco, CA, USA
Financial Services
Senior legal counsel supporting Finance, Capital Markets, and the Board on corporate governance, transactions, regulatory documentation, disclosures, and corporate legal operations. The role manages board materials, entity governance, equity documentation, transaction readiness, and corporate records while monitoring corporate and securities law developments and advising executive leadership.
2 Months AgoSaved
Hybrid
San Francisco, CA, USA
Financial Services
Lead PayJoy’s ML platform organization and manage Staff and Senior ML and software engineers. Define the long-term roadmap for ML infrastructure, feature stores, model serving, ETL, internal APIs, deployment, monitoring, and MLOps. Partner with Risk, Fraud, Engineering, Product, and Data Science stakeholders to translate business goals into scalable technical solutions. Mentor engineering leaders, ensure production reliability and compliance, identify operational bottlenecks, and guide adoption of technologies such as LLMs and graph databases.