Financial Systems Integrations Engineer
@ OpenAI

San Francisco, CA
$150,000
On Site
Full Time
Posted 13 hours ago

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XXXXXXXX XXXXXXXXXXX XXXXXXXX***** @openai.com
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Job Details

About The Team

The Finance Platform & Technology team at OpenAI builds and scales future-proof systems and data architecture powering core financial operations. The team enhances business agility, compliance and operational excellence across various financial workflows.

About The Role

As a Financial Systems Integrations Engineer, you will design, build, and optimize integrations connecting OpenAI’s finance technology ecosystem. You will translate business needs into resilient and well-architected data flows and automations, partnering cross-functionally to deliver scalable, secure and maintainable solutions.

  • Design robust automations and integrations using modern frameworks.
  • Translate workflows into technical, scalable solutions.
  • Collaborate with Finance, IT, and Engineering teams.
  • Diagnose and resolve system integration issues.
  • Support compliance, monitoring, and documentation efforts.

Key skills/competency

Integration, Automation, API, Data Modeling, SOX, Scalability, Monitoring, Compliance, Documentation, Financial Systems

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How to Get Hired at OpenAI

🎯 Tips for Getting Hired

  • Research OpenAI's culture: Understand their mission, values, and recent projects.
  • Tailor your resume: Highlight integration architecture and automation experience.
  • Showcase technical skills: Emphasize API design and data modeling expertise.
  • Prepare for interviews: Focus on cross-functional collaboration and SOX compliance.

📝 Interview Preparation Advice

Technical Preparation

Review API design best practices.
Study integration frameworks and data modeling.
Practice designing scalable data pipelines.
Prepare examples of error handling techniques.

Behavioral Questions

Describe a challenging collaboration experience.
Explain your approach to problem solving.
Discuss handling tight deadlines effectively.
Share examples of adaptive learning under pressure.

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