engineering
Posted 5 days agoField Security Specialist (Cyber Security Solutions Engineer)
at openai
Tokyo, JapanRemote
Responsibilities
- - Build and deliver customer-facing demos, workshops, proofs of concept, and reference architectures for AI-enabled security workflows.
- - Create reusable field assets such as demo narratives, playbooks, FAQs, objection handling, qualification guides, assessment templates, and competitive positioning.
Requirements
- We partner closely with customers, Sales, Product, Engineering, and Security to translate frontier AI capabilities into practical workflows that create real-world impact.
- Cybersecurity is one of the most urgent areas where AI can help.
- About the Role We are committed to bringing together people from diverse backgrounds and perspectives who are excited to help build and deploy safe, useful AI.
- We are seeking a solutions engineer to partner with our Enterprise customers and ensure they achieve tangible business value from our models through the OpenAI suite of products.
- You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications.
- You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development.
- We are looking for a Field Security Specialist to help security leaders and hands-on practitioners understand how OpenAI models, APIs, Codex, and agentic workflows can be applied to real cybersecurity use cases.
- You’ll help customers evaluate OpenAI for workflows like secure code review, vulnerability triage, threat modeling, remediation, SOC workflows, detection engineering, and security validation.
- You will be the field’s cyber expert: shaping discovery, demos, pilots, reference architectures, implementation guidance, and repeatable assets that help customers adopt AI safely in high-stakes security environments. In this role,
- - Bring recurring customer requirements, product gaps, blockers, and high-value cyber workflows back to Product, Engineering, Security, and GTM teams.
- - Can build credible demos or prototypes using APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, or other common security tooling.
- - Understand how to design AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, and human-in-the-loop review.
- About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence
Additional details
- About the Team The Solutions Engineering team is made up of trusted technical advisors who help organizations adopt OpenAI’s technology safely, effectively, and responsibly.
- As frontier models become more capable at reasoning over code, logs, infrastructure, and security evidence, organizations need guidance on how to evaluate, validate, and deploy these systems safely.
- Our goal is to help customers move from identifying risks to implementing solutions.
- You will work closely with Enterprise Sales, Security, and Product teams.
- This is a customer-facing specialist role for someone who can move fluidly between CISO-level conversations, practitioner-level technical depth, and hands-on solution design.
- you will: - Lead cyber workflow discovery with customers across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, and GRC automation.
- - Scope pilots with clear success criteria, data requirements, integrations, evaluation methods, safety boundaries, and human approval points.
- - Advise customers on safe implementation patterns, including tool/function calling, structured outputs, sandboxing, data handling, guardrails, auditability, and approval-gated side effects.
- - Translate between executive buyers and hands-on security practitioners, helping each audience understand value, risk, and practical next steps.
- You might thrive in this role if you: - Have deep practitioner credibility across cybersecurity domains such as application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, or attacker tradecraft.