3 months ago
Tokyo, JapanSenior
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
Solutions Engineering
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.