Responsibilities
- Lead cybersecurity workflow discovery with customers across application security, DevSecOps, vulnerability management, SOC and incident response, detection engineering, red team, cloud security, and GRC automation.
- Build and deliver customer-facing demos, workshops, proofs of concept, and reference architectures for AI-enabled security workflows.
- Scope pilots with success criteria, data requirements, integrations, evaluation methods, safety boundaries, and human approval points.
- Advise customers on safe implementation patterns including tool and function calling, structured outputs, sandboxing, data handling, guardrails, auditability, and approval-gated side effects.
- Translate between executive buyers and hands-on practitioners to explain value, risk, and practical next steps.
- Create reusable demo narratives, playbooks, FAQs, objection-handling materials, qualification guides, assessment templates, and competitive positioning.
- Bring customer requirements, product gaps, blockers, and high-value cybersecurity workflows to Product, Engineering, Security, and go-to-market teams.
Requirements
- Deep practitioner credibility across cybersecurity domains such as application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, or attacker tradecraft.
- Experience in a customer-facing, advisory, consulting, solutions engineering, security architecture, or technical field role.
- Ability to build credible demos or prototypes using APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, or other common security tooling.
- Understanding of AI workflows involving retrieval, structured outputs, tool use, evaluations, guardrails, telemetry, and human-in-the-loop review.
- Ability to scope pilots from ambiguous customer problems, including success metrics, data, integrations, evaluation criteria, deployment assumptions, and decision gates.
- Clear communication skills with both CISO-level executives and hands-on security practitioners.
- Evidence-first judgment, including validating findings, separating true positives from noise, documenting assumptions, and avoiding overstated claims.
- Interest in turning customer work into repeatable assets and product feedback loops.
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.