PayJoy
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
Financial Services
Supports the General Counsel and legal team with corporate governance, compliance, IPO readiness, and transaction activities. Responsibilities include managing corporate calendars, filings, entity records, board materials, data rooms, due diligence, closing checklists, post-closing deliverables, contract lifecycle management, and e-billing processes. The role requires strong organization, attention to detail, confidentiality, and coordination with counsel, auditors, underwriters, and corporate service providers.
Financial Services
Lead the cloud infrastructure and developer platform team to define and execute strategy for cloud-native platforms, CI/CD, and shared services. Drive large-scale infrastructure projects emphasizing reliability, scalability, security, cost optimization, and operational excellence. Establish processes, ownership models, incident management practices, and technical standards. Partner across Product, Security, Compliance, Finance, and Exec leadership to prioritize investments and recruit, mentor, and retain engineering leaders and senior ICs.
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.
