Manager, Field Security Specialists (Cyber Solutions Engineering

About the Team The Solutions Engineering team consists of trusted technical advisors who help organizations adopt OpenAI’s technology safely, effectively, and responsibly. We partner closely with customers, Sales, Product, Engineering, Research, and Security to translate frontier AI capabilities into practical workflows that create measurable impact. Cybersecurity is one of the most important areas where AI can help. As frontier models become increasingly capable of reasoning across code, logs, infrastructure, vulnerabilities, and security evidence, customers need expert guidance to evaluate and deploy these systems safely. Our Field Security Specialists help security leaders and practitioners apply OpenAI models, APIs, Codex, agentic workflows, and emerging cyber capabilities to real defensive challenges. About the Role We are looking for a Manager of Field Security Specialists to build and lead our customer-facing cyber solutions engineering function. This is a hands-on leadership role for someone who can develop an exceptional team while remaining close to the technology and our customers. You will establish the operating model for the function, raise the quality of specialist engagements, and personally support our most strategic and technically complex customer opportunities. You will work across CISO-level strategy, practitioner-level cybersecurity challenges, and hands-on solution design. Your team will help customers explore workflows including application security, secure software development, vulnerability management, threat modeling, cloud and identity security, SOC operations, detection engineering, incident response, and security validation. This is not an internal CISO or corporate incident-response role. It is a customer-facing leadership opportunity focused on helping defenders achieve safe, measurable outcomes with frontier AI. In this role, you will: Hire, coach, develop, and lead a high-performing team of Field Security Specialists. Establish the team’s strategy, operating model, engagement criteria, coverage priorities, and standards for customer delivery. Prioritize specialist capacity across strategic customers, regions, and approved partner opportunities. Lead discovery with CISOs, security executives, engineering leaders, and hands-on practitioners to identify high-value AI-enabled security workflows. Set the quality bar for demonstrations, workshops, reference architectures, pilots, evaluations, integrations, and implementation guidance. Ensure customer engagements include clear success criteria, appropriate data boundaries, validated findings, safe testing, auditability, and human approval for consequential actions. Coach the team to distinguish credible, evidence-backed security outcomes from unvalidated findings or overstated model capabilities. Partner closely with Sales, Solutions Engineering, AI Deployment Engineering, Product, Engineering, Research, Security, Legal, and GRC. Define effective qualification, escalation, engagement, and handoff practices across pre-sales and post-sales teams. Turn successful customer engagements into repeatable cyber plays, technical assets, enablement, and actionable product feedback. Represent the field’s perspective in product and security discussions, surfacing recurring customer requirements, blockers, and emerging use cases. You might thrive in this role if you: Have meaningfully led a customer-facing technical security, cybersecurity consulting, or solutions engineering team. Have experience hiring, coaching, developing, and performance-managing highly technical team members. Bring genuine cybersecurity practitioner credibility and can reason through threat models, trust boundaries, attack paths, exploitability, false positives, and safe remediation. Have strong customer and commercial judgment across discovery, qualification, demonstrations, pilots, executive objections, adoption, and expansion. Can move comfortably between a CISO’s business-risk priorities and a security practitioner’s technical evidence. Maintain enough hands-on technical fluency to review code, APIs, GitHub workflows, CI/CD systems, security tooling, agent architectures, integrations, and evaluation approaches. Understand how AI workflows use retrieval, structured outputs, tool calling, evaluations, guardrails, telemetry, sandboxing, and human review. Lead with evidence and integrity, particularly around customer data, authorized testing, security claims, and high-consequence capabilities. Can allocate scarce specialist resources thoughtfully while creating reusable leverage for the broader field. Operate effectively in ambiguity and enjoy building new teams, processes, and customer motions from the ground up. Communicate clearly with technical, executive, and cross-functional audiences. Nice to Have Familiarity with OpenAI’s models, APIs, Codex, Codex Security, Daybreak, or related cyber capabilities. Experience working with security-product companies, global systems