Field Security Specialist

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.