Software Engineer - CRM Engineering

Company: Electronic Arts

Location: Austin, TX

Salary: $119,600 - $171,800 a year

Type: Full-time

Posted: 2026-04-10

About this role

### General Information

Locations: Austin, Texas, United States of America

  • Location: Vancouver
  • State: British Columbia
  • Country: Canada

  • Location: Kirkland
  • State: Washington
  • Country: United States of America

Role ID

212164

Worker Type

Regular Employee

Studio/Department

Other

Work Model

Hybrid

### Description & Requirements

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

The Office of the CXO (Chief Experience Officer) is at the forefront of EA's transformation to become a player-first organization. Our CRM Engineering team plays a central role in enabling 1:1, personalized, real-time communication across EA's global ecosystem. This includes omni-channel content delivery through EA.com, email, and in-game messaging, backed by modern MarTech infrastructure and marketing science.

As a Software Engineer – CRM Engineering, reporting to the Technical Director of CRM Engineering, you will be a key contributor to building innovative solutions that leverage Generative AI to enable scaled low-touch creative content, workflow automation, and lifecycle marketing delivery. You will work on cutting-edge AI systems that personalize player experiences across EA's global ecosystem, directly impacting millions of players worldwide. This is a full-stack software engineering role, so you will be comfortable working with front-end and back-end technologies.

## Responsibilities

  • Design and develop scalable AI-powered systems for creative content generation, enabling dynamic, real-time messaging across web, email, and in-game channels.
  • Build and maintain production-ready applications, exploring scaled use of LLMs, prompt engineering, model tuning, and orchestration framew...

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