PlayStation

HQ
San Mateo
Total Offices: 11
8,768 Total Employees
Year Founded: 1994

PlayStation Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers supplemental life insurance

Offers accidental death & dismemberment insurance

Offers disability insurance

Offers charitable contribution matching

Offers occupational accident insurance

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Provides family medical leave

Offers generous parental leave

Offers performance bonuses

Offers employee discounts

Company Culture

Provides commuter benefits

Provides a mobile phone discount

Offers legal assistance

Provides free snacks and drinks

Offers travel concierge services

Offers a remote work program

Offers diversity-based Employee Resource Groups

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

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

Provides tuition assistance

Recently posted jobs

3 Days AgoSaved
In-Office
Austin, TX, USA
Gaming
Lead test automation for web applications and a CDN-backed content delivery platform. Design, build, and maintain automated frameworks (UI/API), integrate CI/CD, run performance and scalability tests, validate cloud-native AWS services, and support release activities including code reviews, defect triage, and root cause analysis.
2 Days AgoSaved
Remote
United States
Gaming
Lead global finance transformation programs end-to-end: design future operating models, implement ERP/automation/AI initiatives, manage program delivery, drive organizational change, and develop high-performing teams to realize measurable finance improvements.
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Lead design, execution, and interpretation of A/B tests and quasi-experiments; apply causal inference methods; partner with product, engineering, and marketing; mentor data scientists; build experimentation frameworks; extract and analyze data using SQL and Python; communicate results to stakeholders.