Offensive Security Engineer, Agent Products

OpenAI OpenAI · AI Frontier · San Francisco, CA · Security

Principal-level Offensive Security Engineer focused on deep, hands-on penetration testing of OpenAI’s agent-powered products, infrastructure, and model-integrated application surfaces. Assesses complex systems, identifies vulnerabilities, validates exploitability, and partners with engineering teams to drive fixes. Builds tools and automation for offensive security workflows.

What you'd actually do

  1. Conduct deep penetration tests of OpenAI’s agent-powered products, including web applications, APIs, cloud services, identity and authorization flows, CI/CD systems, and model-integrated product surfaces.
  2. Continuously hunt for exploitable vulnerabilities in the interactions between the applications, infrastructure, tools, and models that power our agentic products.
  3. Perform code review, architecture review, and hands-on exploitation to validate risk and identify subtle or novel failure modes.
  4. Produce clear, actionable findings with reproduction steps, exploitability analysis, impact assessment, and practical remediation guidance.
  5. Partner directly with engineering teams to drive fixes, validate remediation, and improve secure design patterns across agentic products.

Skills

Required

  • 7+ years of hands-on penetration testing, product security assessment, application security, cloud security assessment, or equivalent offensive security experience.
  • Deep expertise finding, exploiting, documenting, and helping remediate vulnerabilities in complex production systems.
  • Experience performing offensive security assessments of modern technology products, including web applications, APIs, cloud infrastructure, identity systems, CI/CD pipelines, and distributed services.
  • Experience designing, developing, or assessing the security of AI-powered systems.
  • Experience finding, exploiting, and mitigating common vulnerabilities in AI systems, including prompt injection, confused deputies, unsafe tool use, and dynamically generated UI components.
  • Exceptional skill in code review to identify novel and subtle vulnerabilities.
  • Proven experience performing offensive security assessments in at least one hyperscaler cloud environment.
  • Demonstrated mastery assessing complex technology stacks, including: Highly customized Kubernetes clusters, Container environments, CI/CD pipelines, GitHub security, macOS and Linux operating systems, Data science tooling and environments, Python-based web services, React-based frontend applications
  • Strong intuitive understanding of trust boundaries and risk assessment in dynamic contexts.
  • Excellent coding skills, capable of writing robust tools and automation for offensive security testing.
  • Ability to communicate complex technical concepts effectively through clear reports, practical remediation guidance, and compelling technical storytelling.
  • Proven track record of not just finding vulnerabilities, but actively contributing to solutions in complex codebases.

Nice to have

  • Azure experience is preferred.
  • Background or expertise in AI or data science.
  • Prior experience working in tech startups or fast-paced technology environments.
  • Experience in related disciplines such as Software Engineering, Product Security, Application Security, Detection Engineering, Site Reliability Engineering, Security Engineering, or IT Infrastructure.

What the JD emphasized

  • deep, hands-on penetration testing
  • agent-powered products
  • agentic products
  • AI-powered systems
  • prompt injection
  • confused deputies
  • unsafe tool use

Other signals

  • penetration testing
  • agent-powered products
  • vulnerability assessment
  • automation