Senior Manager, AI Runtime Security

- Build and lead a team of engineers and analysts focused on AI runtime protection and operational AI security controls

- Define and execute strategy for AI runtime security, including guardrails, behavioral attestation, and rogue agent detection

- Operationalize AI runtime controls across AI gateways, APIs, and production environments

- Partner with IT, platform engineering, and cybersecurity teams to integrate detection, response, containment, and kill-switch capabilities

- Build scalable security operations processes to enforce AI runtime protections in real time across deployed AI systems

- Drive integration of runtime telemetry into enterprise monitoring and incident response workflows

- Establish security standards and best practices for securing AI-enabled applications and agentic systems

- Collaborate across architecture, cloud, and engineering teams to embed AI security controls into enterprise platforms

- 10+ years of experience securing endpoints, cloud platforms and SaaS environments

- Deep experience with AWS, Azure, and/or Google Cloud Platform (GCP) security architectures

- Experience leading security engineering or cyber operations teams in enterprise environments

- Strong understanding of AI systems, AI runtime controls, and modern AI security risks

- Familiarity with AI guardrails, AI gateways, behavioral monitoring, and runtime enforcement technologies

- Experience integrating security controls into production platforms and operational workflows

- Strong communication and stakeholder management skills with the ability to influence cross-functional teams

- Certifications such as: CCSP AWS Certified Solutions Architect - Associate Google Associate Cloud Engineer

- Experience securing AI/ML platforms, autonomous agents, or generative AI systems

- Familiarity with real-time detection and response capabilities for AI-enabled environments

- AI runtime protections are consistently enforced across enterprise AI deployments

- Security controls scale effectively alongside rapidly growing AI and agentic use cases

- Detection and response capabilities reduce operational and business risk from unsafe or rogue AI behaviors

- Cross-functional teams adopt secure-by-design AI runtime patterns and operational standards