Rakuten

Internet & E-commerce · 501–1,000 employees · San Mateo, California

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Hiring record

How Rakuten hires

Mixed record. Between a quarter and a half of its open roles have been listed for more than 60 days.

Open now: 15
Over 60 days: 5
Median days open: 43
Reposted roles: 0

Measured nightly from every posting on its own careers page. How we score

About Rakuten

Since our founding in 1997, Rakuten has helped shape the way people shop online, offering Cash Back, deals and shopping rewards on the world’s largest selection of products and services. To date, our 17M members in the U.S. have earned over $4.6B in Cash Back at their favorite stores. We’re the largest free loyalty program in the US and the first-ever jersey badge sponsor of the Golden State Warriors.

Rakuten Rewards is headquartered in the San Francisco Bay Area with 12 offices worldwide. Our group of companies includes ShopStyle and Cartera Commerce. Our employees enjoy a fast-paced, friendly environment where creativity and teamwork are valued and results are recognized. Join our team to experience the best of both worlds: a large, profitable, multinational company with the rapid growth and agility of a startup.

Specialties

cash back
shopping rewards
online shopping
online coupons
app shopping

From Rakuten’s LinkedIn page, matched to the employer’s own website.

Industry: Internet & E-commerce
Company size: 501–1,000 employees
Headquarters: San Mateo, California
Founded: 1998

Offices

800 Concar Dr, San Mateo, California 94402, US
160 Spear St, 19th Floor, San Francisco, California 94105, US

Open jobs at Rakuten

15 open jobs

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Rakuten

How Rakuten hires

Open jobs at Rakuten

Software Engineer (Contract)

EDB-IPP Project: LLM Model Compression and Acceleration

Software Engineer

Senior DevOps Engineer (GATD)

Senior Site Reliability (DevOps) Engineer

Technical Lead, Incentive Platform Department

Senior Software Engineer

Senior Site Reliability (DevOps) Engineer (INPD)

Software Engineer (Web Search Group)

EDB-IPP Project: Advancing GPU Optimization for Large Language Models

Data Science Manager (CXD)

Product Manager Evaluation & Data (EC AI)

Backend Engineer, Agent Development (EC AI)

EDB-IPP Project: Advancing Domain-Specific Multimodal Large Language Models and AI Governance for Vertical Domain Applications