# Field Security Specialist

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA, New York, NY
**Role:** Sales Engineering
**Salary:** $335k – $352k/yr
**Experience:** 5+ years
**Skills:** Cybersecurity, Application Security, Cloud Security, Vulnerability Management, Incident Response, detection engineering, secure sdlc, APIs, Python, github workflows, CI/CD, guardrails, structured outputs, tool use, AI Workflows
**Posted:** 2026-06-16

> Customer-facing Field Security Specialist partnering with Enterprise customers to evaluate, demo, and safely deploy OpenAI models for cybersecurity workflows such as secure code review, threat modeling, SOC automation, and detection engineering. Requires deep cybersecurity practitioner experience, ability to build prototypes/demos, and translate between CISOs and technical teams.

## Job Description

## 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.

## 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.
- Comfortable scoping pilots from ambiguous customer pain, including success metrics, required data, workflow integrations, evaluation criteria, deployment assumptions, and decision gates.
- Strong communication skills with both CISOs and hands-on practitioners.
- 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.

## Nice-to-Haves
- Experience with OpenAI models, APIs, Codex, and agentic workflows applied to cybersecurity use cases like secure code review, vulnerability triage, threat modeling, remediation, SOC workflows, detection engineering, and security validation.

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