Software Engineer, Privacy @ OpenAI
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About the Team
At OpenAI, the Privacy Team is responsible for building a secure and trustworthy platform. They ensure that all products adhere to the highest standards of data privacy and legal compliance while supporting the mission of safe AGI deployment.
About the Role
The Software Engineer, Privacy will design, architect, and develop backend systems handling sensitive data. You will work closely with legal teams and engineers to meet and exceed data privacy standards.
- Design, build, and maintain backend systems for privacy functions.
- Collaborate with legal advisors and engineering teams on legal processes.
- Identify automation opportunities to streamline data handling tasks.
- Develop policies to ensure data integrity and confidentiality.
You Might Thrive In This Role If You
- You have experience building data pipelines in legal contexts.
- You can translate legal requirements into technical solutions.
- You own problems end-to-end and learn as needed.
- You build tools to optimize workflow efficiency.
- You care deeply about user experience and data privacy.
Compensation, Benefits And Perks
This full-time role at OpenAI Ireland Ltd. includes an annual salary, equity, and comprehensive benefits like medical, dental and vision insurance, wellness support, PRSA matching, unlimited time off, and an annual learning stipend of €1,400.
About OpenAI
OpenAI pioneers safe and beneficial artificial intelligence. They emphasize innovation, inclusivity, and responsible data use, ensuring every product is designed with ethical considerations in mind.
Key skills/competency
- Data Pipelines
- Backend Systems
- Legal Compliance
- Data Privacy
- Automation
- Security
- Collaboration
- Problem-solving
- Regulatory
- System Architecture
How to Get Hired at OpenAI
🎯 Tips for Getting Hired
- Customize your resume: Highlight data pipelines and legal compliance skills.
- Research OpenAI: Understand their mission, products, and culture.
- Prepare technical examples: Share backend systems and automation projects.
- Practice interview questions: Focus on data privacy scenarios.