13 hours ago
Base Salary
$198k - $335k/yr
Responsibilities
- Build demos, sample applications, and developer tools using Codex, OpenAI APIs, and Cyber products for secure software development and defensive workflows.
- Create tutorials, blog posts, videos, and code samples explaining security findings, vulnerability prioritization, proposed-change review, and fix verification.
- Develop reference integrations connecting AI-assisted security workflows with source control, code review, and continuous integration.
- Partner with Cyber engineers and security researchers to ensure examples are technically accurate and clearly communicate evidence, validation, and model limitations.
- Implement sound security practices involving permissions, credentials, sensitive code and data, and human review of agent actions.
- Engage developers and security practitioners through events, workshops, and online communities.
- Synthesize practitioner feedback to identify friction, inform product priorities, and improve user adoption.
- Contribute to developer-facing interfaces, documentation, and tooling in collaboration with product, engineering, and go-to-market teams.
Requirements
- Strong software engineering fundamentals and a record of shipping useful software, developer tools, or products for technical users.
- Experience building applications with AI models, APIs, or agent workflows and turning experimentation into reliable, maintainable code.
- Experience with application security, vulnerability management, secure development workflows, or security tooling.
- A portfolio of technical content, demos, sample applications, or developer tooling that helps others learn and build.
- Strong developer empathy and the ability to explain complex technical concepts clearly through writing, code, and conversation.
- Experience collaborating across engineering, product, and technical user communities with sound judgment about usability, security, and correctness.
- Ability to own ambiguous problems end to end, learn unfamiliar domains, and iterate as products and user needs evolve.
- Commitment to responsible AI development and interest in helping developers use powerful capabilities safely and effectively.
Categories
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.