Field Security Specialist (cyber Security Solutions Engineer)

OpenAI OpenAI · AI Frontier · Singapore · Go To Market

This role is a customer-facing Solutions Engineer specializing in cybersecurity use cases for OpenAI's AI models and APIs. The specialist will partner with enterprise customers to understand their security needs, guide their AI strategy, and demonstrate how OpenAI's technology can be applied to workflows like secure code review, vulnerability triage, and threat modeling. The role involves building demos, scoping pilots, advising on safe implementation patterns (including tool/function calling, guardrails, and human-in-the-loop), and creating reusable field assets. The ideal candidate has deep cybersecurity domain expertise and experience in customer-facing advisory or solutions engineering roles, with the ability to build prototypes and understand AI workflow design principles.

What you'd actually do

  1. Lead cyber workflow discovery with customers across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, and GRC automation.
  2. Build and deliver customer-facing demos, workshops, proofs of concept, and reference architectures for AI-enabled security workflows.
  3. Scope pilots with clear success criteria, data requirements, integrations, evaluation methods, safety boundaries, and human approval points.
  4. Advise customers on safe implementation patterns, including tool/function calling, structured outputs, sandboxing, data handling, guardrails, auditability, and approval-gated side effects.
  5. Translate between executive buyers and hands-on security practitioners, helping each audience understand value, risk, and practical next steps.

Skills

Required

  • Deep practitioner credibility across cybersecurity domains (application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, or attacker tradecraft)
  • Customer-facing, advisory, consulting, solutions engineering, security architecture, or technical field role experience
  • 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 workflow design with retrieval, structured outputs, tool use, evals, guardrails, telemetry, and human-in-the-loop review
  • Experience scoping pilots from ambiguous customer pain, including success metrics, required data, workflow integrations, evaluation criteria, deployment assumptions, and decision gates
  • Clear communication with both CISOs and hands-on practitioners
  • Strong evidence-first judgment
  • Ability to translate customer needs into product feedback

Nice to have

  • Experience with OpenAI models, APIs, Codex, and agentic workflows

What the JD emphasized

  • partner closely with customers, Sales, Product, Engineering, and Security
  • translate frontier AI capabilities into practical workflows
  • help customers move from identifying risks to implementing solutions
  • partner with our Enterprise customers
  • achieve tangible business value from our models
  • guide their AI strategy
  • identify the highest value use cases and applications
  • demonstrate the value of our solutions
  • recommend architectural patterns
  • work closely with Enterprise Sales, Security, and Product teams
  • help security leaders and hands-on practitioners understand how OpenAI models, APIs, Codex, and agentic workflows can be applied to real cybersecurity use cases
  • move fluidly between CISO-level conversations, practitioner-level technical depth, and hands-on solution design
  • help customers evaluate OpenAI for workflows like secure code review, vulnerability triage, threat modeling, remediation, SOC workflows, detection engineering, and security validation
  • field’s cyber expert
  • shaping discovery, demos, pilots, reference architectures, implementation guidance, and repeatable assets
  • help customers adopt AI safely in high-stakes security environments
  • Build and deliver customer-facing demos, workshops, proofs of concept, and reference architectures for AI-enabled security workflows.
  • 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
  • Create reusable field assets such as demo narratives, playbooks, FAQs, objection handling, qualification guides, assessment templates, and competitive positioning.
  • Bring recurring customer requirements, product gaps, blockers, and high-value cyber workflows back to Product, Engineering, Security, and GTM teams.
  • Have deep practitioner credibility across cybersecurity domains
  • Have worked in a customer-facing, advisory, consulting, solutions engineering, security architecture, or technical field role.
  • 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.
  • Are comfortable scoping pilots from ambiguous customer pain, including success metrics, required data, workflow integrations, evaluation criteria, deployment assumptions, and decision gates.
  • Communicate clearly with both CISOs and hands-on practitioners.
  • Are excited to build leverage for the broader field by turning one-off customer work into repeatable assets and product feedback loops.

Other signals

  • customer-facing
  • technical advisor
  • AI strategy
  • architectural patterns
  • AI-enabled security workflows
  • safe implementation patterns
  • tool/function calling
  • guardrails
  • auditability
  • human approval points