The opportunity
The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify…
What you'll do
Deeply embed with strategic customers as the technical lead for AI-enabled: cybersecurity workflows, serving as a trusted partner to both security executives and technical practitioners.
Lead discovery across AppSec, DevSecOps, vulnerability management, SOC/IR,: detection engineering, red team, cloud security, identity, and GRC automation use cases.
Build and deliver customer-facing demos, prototypes, workshops, proofs of: concept, and reference architectures using OpenAI APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, and common security tools.
Scope pilots with clear success criteria, data requirements, workflow: integrations, evaluation methods, security constraints, safety boundaries, and human approval points.
Advise customers on safe implementation patterns, including tool and function: calling, structured outputs, retrieval, sandboxing, data handling, guardrails, telemetry, auditability, and approval-gated side effects.
Translate between CISO-level outcomes and practitioner-level implementation: details so each audience understands value, risk, and practical next steps.
What they're looking for
- Create reusable field assets such as demo narratives, playbooks, FAQs,: objection handling, qualification guides, assessment templates, and competitive positioning.
- Validate, synthesize, and deliver high-signal feedback to Product,: Engineering, Research, Security, and GTM teams based on recurring customer requirements, blockers, product gaps, and emerging cyber workflows.
- Have 5+ years of technical consulting, solutions engineering, security: architecture, cyber advisory, deployment engineering, professional services, or equivalent customer-facing technical experience.
- Bring strong cybersecurity domain expertise across one or more areas such as: application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, threat intelligence, red teaming, or security architecture.
