The opportunity
The Developer Experience team at OpenAI has a singular focus: empowering developers globally. Our mission is to provide every developer and startup on the planet with the most delightful and seamless experience to integrate AI into their applications and products.
What you'll do
Build demos, sample applications, and developer tools that demonstrate: practical ways to use Codex, OpenAI’s APIs, and Cyber products for secure software development and defensive workflows.
Create tutorials, blog posts, videos, and code samples that help developers: understand security findings, validate and prioritize vulnerabilities, review proposed changes, and verify fixes.
Develop reference integrations that connect AI-assisted security workflows to: source control, code review, and continuous integration, helping teams move from initial setup to repeatable use.
Partner with Cyber engineers and security researchers to make examples: technically accurate and results understandable, with clear guidance on evidence, validation, and the limitations of model-generated findings.
Demonstrate sound security practices in examples and tooling, including: appropriate permissions, credential handling, protection of sensitive code and data, and human review of agent actions.
Engage developers and security practitioners through events, workshops, and: online communities, serving as an approachable technical resource and advocate.
What they're looking for
- Gather and synthesize practitioner feedback to identify friction, inform: product priorities, and improve the journey from onboarding to everyday use.
- Contribute directly to developer-facing interfaces, documentation, and: tooling, working with product, engineering, and go-to-market partners to help users adopt and succeed with OpenAI’s developer products.
- Strong engineering fundamentals and a track record of shipping useful: software, developer tools, or products for technical users.
- Experience building applications with AI models, APIs, or agent workflows,: and translating experimentation into reliable, maintainable code.
