Field Security Specialist (Cyber Security Solutions Engineer)

OpenAI•San Francisco, CA

57d•$335,000 - $352,000•Hybrid

About The Position

The Solutions Engineering team at OpenAI is seeking a Field Security Specialist to join their ranks. This role focuses on partnering with Enterprise customers to ensure they effectively and safely adopt OpenAI's AI technology. The specialist will act as a trusted technical advisor, translating advanced AI capabilities into practical security solutions. Key responsibilities include understanding customer pre-sales needs, guiding their AI strategy, identifying high-value use cases, and demonstrating the value of OpenAI's solutions. The role involves working closely with Sales, Security, Product, and Engineering teams to help customers leverage AI models, APIs, Codex, and agentic workflows for cybersecurity use cases such as secure code review, vulnerability triage, threat modeling, remediation, SOC workflows, detection engineering, and security validation. The Field Security Specialist will be the go-to cyber expert in the field, responsible for discovery, demos, pilots, reference architectures, implementation guidance, and creating assets that enable safe AI adoption in high-stakes security environments.

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 how to design AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, and human-in-the-loop review.
Comfort in scoping pilots from ambiguous customer pain, including success metrics, required data, workflow integrations, evaluation criteria, deployment assumptions, and decision gates.
Clear communication skills with both CISOs and hands-on practitioners.
Strong evidence-first judgment: validate findings, separate true positives from noise, document assumptions, and avoid overstating claims.
Excitement to build leverage for the broader field by turning one-off customer work into repeatable assets and product feedback loops.

Responsibilities

Lead cyber workflow discovery with customers across AppSec, DevSecOps, vulnerability management, SOC/IR, 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 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.
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.