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OpenAI is seeking a Manager, Cyber Applied AI Architect to lead a team of customer-facing architects who partner with enterprise customers throughout the full lifecycle—from technical discovery and architecture design through implementation, deployment, and adoption.
In this hands-on people leadership role, you will hire, coach, and develop a team of Cyber Applied AI Architects while shaping the team's technical approach and customer engagement model. You'll work closely with Sales and Solutions Engineering to understand customer security priorities and design AI-enabled solutions using OpenAI models, APIs, Codex, and agentic workflows.
Key responsibilities include:
- Hiring, coaching, and developing team members with clear expectations for technical excellence, customer impact, and career growth
- Establishing team priorities, allocating resources, and balancing pre-sales engagements with post-sales implementation and adoption
- Leading technical discovery with security executives, practitioners, architects, and engineering teams
- Partnering with Sales and Solutions Engineering on AI solution design, demonstrations, workshops, technical validation, and proofs of concept
- Guiding the team in translating customer requirements into clear solution architectures, implementation plans, success criteria, and technical milestones
- Overseeing solutions from pre-sales architecture and prototyping through production deployment and adoption
- Serving as a senior technical partner for strategic customers, coordinating stakeholders and internal Product, Engineering, Security, and GTM teams
- Remaining hands-on in designing, building, and troubleshooting complex integrations involving OpenAI models and APIs, Codex, agents, security tools, cloud platforms, and enterprise workflows
- Setting standards for architectural reviews, evaluation frameworks, governance controls, guardrails, monitoring, and human-review processes
- Identifying technical risks, resolving escalations, and turning customer feedback into actionable product and engineering priorities
- Measuring team performance, customer adoption, and business impact to ensure AI-enabled solutions deliver meaningful security outcomes
- Building reusable reference architectures, playbooks, demonstrations, and best practices to help the team scale
The role spans security workflows including secure code review, vulnerability management, threat detection, incident response, SOC operations, and GRC automation.
Requirements:
- Experience hiring, managing, and developing customer-facing technical teams across solutions architecture, engineering, implementation, or professional services
- Experience spanning both pre-sales technical engagement and post-sales delivery, with ownership of customer outcomes
- Hands-on cybersecurity expertise across areas such as AppSec, DevSecOps, cloud security, SOC, incident response, vulnerability management, identity, or security architecture
- Ability to coach architects, lead executive-level technical conversations, and remain comfortable designing, building, and troubleshooting solutions
- Experience applying AI models, APIs, or agentic patterns to practical workflows and guiding pilots into production
- Ability to prioritize across customer engagements, manage technical escalations, and communicate architectural decisions and tradeoffs clearly
- Comfort building teams and operating models in ambiguous environments while taking ownership of measurable customer adoption and impact
