Manager, Cyber - AI Deployment Engineering

Details

The Cyber Deployment Manager partners with customers throughout the full lifecycle—from technical discovery and solution design through implementation, deployment, and adoption. You’ll work closely with Sales and Solutions Engineering during the pre-sales process to understand customer security priorities, assess technical requirements, develop solution architectures, and support demonstrations, workshops, and proofs of concept.

After a customer commits, you’ll remain engaged as the technical deployment lead, translating the proposed solution into a production-ready implementation. You’ll guide integrations, establish success criteria, manage technical risks, and help customers operationalize AI across security workflows such as secure code review, vulnerability management, threat detection, incident response, SOC operations, and GRC automation.

Responsibilities

• Lead technical discovery with security executives, practitioners, architects, and engineering teams.
• Partner with Sales and Solutions Engineering on solution design, demonstrations, workshops, technical validation, and proofs of concept.
• Translate customer requirements into clear architectures, deployment plans, success criteria, and implementation milestones.
• Own the transition from pre-sales solution design into post-sales deployment and adoption.
• Serve as the primary technical partner during implementation, coordinating customer stakeholders and internal Product, Engineering, Security, and GTM teams.
• Build and troubleshoot integrations involving APIs, agents, security tools, cloud platforms, data sources, and enterprise workflows.
• Identify deployment risks, technical blockers, and product gaps, and drive them toward resolution.
• Help customers establish evaluation frameworks, governance controls, guardrails, monitoring, and human-review processes.
• Measure adoption and business impact, ensuring deployed solutions deliver meaningful security outcomes.
• Turn successful customer deployments into reusable architectures, playbooks, demonstrations, and best practices.

Requirements

• Experience spanning both pre-sales solutions engineering and post-sales implementation, professional services, or technical deployment.
• Hands-on cybersecurity expertise across areas such as AppSec, DevSecOps, cloud security, SOC, incident response, vulnerability management, identity, or security architecture.
• Ability to lead executive-level technical conversations while remaining comfortable building, integrating, and troubleshooting solutions.
• Experience scoping pilots, defining success criteria, and moving technical evaluations into production deployments.
• Effective communication across customer, sales, product, engineering, and security teams.
• Ability to operate in ambiguous environments and take ownership from initial discovery through measurable customer adoption.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities. Background checks are administered in accordance with applicable law.

Benefits

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