Redis (redis.io)

HQ
San Francisco
Total Offices: 7
1,345 Total Employees
Year Founded: 2011

Redis (redis.io) Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers occupational accident insurance

Offers disability insurance

Offers supplemental life insurance

Offers accidental death & dismemberment insurance

Offers company equity

Offers employee discounts

Offers performance bonuses

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

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

Offers apprenticeship programs

Company Culture

Offers a remote work program

Provides free snacks and drinks

Offers legal assistance

Provides a mobile phone discount

Offers diversity-based Employee Resource Groups

Cloud • Software
Provide advanced technical support for Redis Enterprise software: troubleshoot and reproduce complex issues, perform root cause analysis, analyze performance (including network and cloud environments), collaborate with engineering and CloudOps, manage escalations, document solutions, and assist with deployments, upgrades, testing, and customer training.
Cloud • Software
Join the Redis Search/Vector team to design and optimize AI-driven indexing and retrieval systems, focusing on performance. Collaborate across teams, lead design efforts, and mentor peers.
4 Days AgoSaved
Remote
Canada
Cloud • Software
Lead product strategy and execution for Redis Cloud across enterprise, digital-native, and AI customers. Define requirements, manage product lifecycle, work with customers and cross-functional teams, and drive launches, adoption, and technical decisions related to cloud infrastructure, data platforms, and AI workloads.