Field Security Specialist (Cyber Security Solutions Engineer)

Details

The Solutions Engineering team helps organizations adopt OpenAI technology safely, effectively, and responsibly. This role focuses on helping security leaders and practitioners apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases.

This customer-facing specialist role requires the ability to move between CISO-level conversations, practitioner-level technical discussions, and hands-on solution design. The role covers workflows including secure code review, vulnerability triage, threat modeling, remediation, SOC workflows, detection engineering, and security validation.

Responsibilities

• Lead cyber workflow discovery with customers across application security, DevSecOps, vulnerability management, SOC and incident response, 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 and 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 cybersecurity workflows to Product, Engineering, Security, and Go-To-Market 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 AI workflow design involving retrieval, structured outputs, tool use, evaluations, guardrails, telemetry, and human-in-the-loop review.
• Ability to scope pilots from ambiguous customer problems, including success metrics, required data, workflow integrations, evaluation criteria, deployment assumptions, and decision gates.
• Clear communication skills with both CISOs and hands-on practitioners.
• Evidence-first judgment, including validating findings, separating true positives from noise, documenting assumptions, and avoiding overstated claims.
• Interest in turning customer work into repeatable assets and product feedback loops.

Benefits

• Equity.
• Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
• Pre-tax accounts for health and dependent care expenses, as well as commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, company holidays, office closures, and paid sick or safe time.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily office meals and eligible meal delivery credits.
• Relocation support for eligible employees.
• Additional benefits may include charitable donation matching and wellness stipends.

The role uses a hybrid work model of three days in the office per week and is based in San Francisco, California, or New York, New York.