Responsibilities
- Serve as the technical lead and trusted partner for strategic customers deploying AI-enabled cybersecurity workflows.
- Lead discovery across application security, DevSecOps, vulnerability management, SOC and incident response, detection engineering, red teaming, cloud security, identity, and GRC automation.
- Build and deliver customer-facing demos, prototypes, workshops, proofs of concept, and reference architectures.
- Scope pilots with success criteria, data requirements, integrations, evaluation methods, security constraints, safety boundaries, and human approval points.
- Advise customers on safe implementation patterns including tool and function calling, structured outputs, retrieval, sandboxing, data handling, guardrails, telemetry, auditability, and approval-gated side effects.
- Translate between executive security outcomes and practitioner-level implementation details.
- Create reusable field assets such as demo narratives, playbooks, FAQs, qualification guides, assessment templates, objection handling, and competitive positioning.
- Synthesize customer feedback for Product, Engineering, Research, Security, and go-to-market teams.
Requirements
- At least 5 years of technical consulting, solutions engineering, security architecture, cyber advisory, deployment engineering, professional services, or equivalent customer-facing technical experience.
- Strong cybersecurity expertise in one or more areas including application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, threat intelligence, red teaming, or security architecture.
- Ability to communicate credibly with CISOs, CTOs, security executives, engineering leaders, and highly technical security practitioners.
- Hands-on experience building prototypes or production systems with APIs, Python or JavaScript, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, or other security tooling.
- Understanding of AI workflow design involving retrieval, structured outputs, tool use, evaluations, guardrails, telemetry, sandboxing, and human-in-the-loop review.
- Experience scoping customer pilots with success metrics, data requirements, workflow integrations, evaluation criteria, deployment assumptions, and decision gates.
- Evidence-first security judgment, including validating findings, distinguishing true positives from noise, documenting assumptions, and avoiding overstated claims.
- Ability to own problems end-to-end across concurrent customer projects and create reusable assets for the broader field.
- Humble, collaborative attitude and commitment to customer and team success.
Benefits
- Role is based at the San Francisco headquarters.
- Relocation support is offered to new employees.
Tech Stack
Categories
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit. To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.