Field Security Specialist, Solutions Engineering
Are you a cybersecurity expert with a passion for cutting-edge AI? Do you thrive on translating complex technical capabilities into tangible, secure solutions for enterprise customers? Join OpenAI's Solutions Engineering team and help shape the future of cybersecurity with frontier AI models.
About the Team: Pioneering AI for Cybersecurity
Our Solutions Engineering team comprises trusted technical advisors dedicated to helping organizations adopt OpenAI’s technology safely, effectively, and responsibly. We bridge the gap between our frontier AI capabilities and real-world impact by partnering closely with customers, Sales, Product, Engineering, and Security teams.
Cybersecurity stands as one of the most urgent domains where AI can make a transformative difference. As our models become increasingly adept at reasoning over code, logs, infrastructure, and security evidence, organizations need expert guidance to evaluate, validate, and securely deploy these powerful systems. Our mission is to empower customers to move beyond identifying risks to implementing robust, AI-powered security solutions.
Your Impact & Responsibilities: Bridging AI and Enterprise Security
We are seeking a dynamic Field Security Specialist to partner with our Enterprise customers. In this critical, customer-facing role, you will ensure our clients achieve tangible business value from OpenAI’s models and product suite. You will:
Be the field's cyber expert: shaping discovery, demos, pilots, reference architectures, and implementation guidance.
Move fluidly between strategic CISO-level discussions, deep practitioner-level technical engagements, and hands-on solution design.
Help security leaders and practitioners understand how OpenAI models, APIs, Codex, and agentic workflows can be applied to real cybersecurity challenges.
Guide customers in evaluating OpenAI for critical workflows such as:
Secure code review
Vulnerability triage
Threat modeling
Remediation strategies
Security Operations Center (SOC) workflows
Detection engineering
Security validation
In this role, you will:
Lead cyber workflow discovery with customers across a broad spectrum of domains: AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, and GRC automation.
Design and deliver compelling customer-facing demos, workshops, proofs of concept (POCs), and reference architectures for AI-enabled security workflows.
Scope pilots with clear success criteria, data requirements, integration strategies, 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 technical complexities for executive buyers and provide practical next steps for hands-on security practitioners, ensuring both audiences understand value and risk.
Create reusable field assets such as demo narratives, playbooks, FAQs, objection handling, qualification guides, assessment templates, and competitive positioning.
Provide critical feedback to Product, Engineering, Security, and GTM teams regarding recurring customer requirements, product gaps, blockers, and high-value cyber workflows.
What We're Looking For
You might thrive in this role if you:
Possess deep practitioner credibility across diverse cybersecurity domains such as application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, or attacker tradecraft.
Have a proven background in customer-facing, advisory, consulting, solutions engineering, security architecture, or other technical field roles.
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 robust AI workflows incorporating retrieval, structured outputs, tool use, evaluations (evals), guardrails, telemetry, and human-in-the-loop review.
Are comfortable scoping pilots from ambiguous customer pain points, defining success metrics, required data, workflow integrations, evaluation criteria, deployment assumptions, and decision gates.
Communicate clearly and effectively with both CISOs and hands-on practitioners.
Demonstrate strong evidence-first judgment: you validate findings, separate true positives from noise, document assumptions, and avoid overstating claims.
Are excited to build leverage for the broader field by transforming one-off customer work into repeatable assets and product feedback loops.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of AI system capabilities and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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