Software Engineer, Privacy
About the Team The Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAI's mission of advancing Artificial General Intelligence (AGI). Our focus is on all OpenAI products and systems handling user data, striving to uphold the highest standards of data privacy and sec
What this role actually needs.
Software Engineer, Privacy at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. About the Team The Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAI's mission of advancing Artificial General Intelligence (AGI). Our focus is on all OpenAI products and systems handling user data, striving to uphold the highest standards of data privacy and sec
Day-to-day expectations
A clear list of the work this role is designed to cover.
- Design, build, and implement back-end systems that power privacy and security functions within our API products and consumer applications.
- Conduct threat modeling, privacy design reviews, and code-level assessments to ensure the highest privacy and security standards.
- Collaborate with product managers, and other engineering teams to develop new products that leverage emerging research while maintaining privacy and security integrity.
- Work closely with the legal team to document and evaluate internal compliance practices, ensuring alignment with legal requirements and organizational standards, and conduct thorough internal audits to maintain the highest levels of compliance and integrity.
- Coordinate and actively participate in privacy incident response efforts.
- Have substantial experience in building (and re-engineering) production systems to meet legal requirements, manage increased scale, and uphold privacy and security standards.
What a strong candidate brings
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- Coordinate and actively participate in privacy incident response efforts.
- Have substantial experience in building (and re-engineering) production systems to meet legal requirements, manage increased scale, and uphold privacy and security standards.
- Have led or been a significant contributor to security projects, demonstrating a cross-functional collaboration skill set.
- Deeply care about user experience and take pride in developing products that meet customer needs whilst drawing on experience in threat modeling, secure design, and regulatory compliance.
- Possess a humble attitude, strong communication skills, and an eagerness to support your colleagues, reflecting a readiness to do whatever is necessary for team success.
- Take responsibility for problems from beginning to end, demonstrating problem-solving abilities and preparedness to acquire any missing knowledge necessary to get the job done.
Why people would want this job
Benefits help searchers understand whether the role is a real fit before they apply.
- Design, build, and implement back-end systems that power privacy and security functions within our API products and consumer applications.
- Conduct threat modeling, privacy design reviews, and code-level assessments to ensure the highest privacy and security standards.
- Collaborate with product managers, and other engineering teams to develop new products that leverage emerging research while maintaining privacy and security integrity.
- Work closely with the legal team to document and evaluate internal compliance practices, ensuring alignment with legal requirements and organizational standards, and conduct thorough internal audits to maintain the highest levels of compliance and integrity.
- Coordinate and actively participate in privacy incident response efforts.
- Have substantial experience in building (and re-engineering) production systems to meet legal requirements, manage increased scale, and uphold privacy and security standards.
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- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to software engineer, privacy is a high-signal hybrid role in san francisco, and it is most realistic for united states residents.
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- $230K - $325K is visible, so calibrate your application around the posted range.
- Use united states residents as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in hybrid environments.
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