Manager, Cyber - AI Deployment Engineering
Core
Lead technical discovery, solution design, and post-sales deployment of AI security solutions for enterprise customers, bridging pre-sales and production implementation.
Role type
Manager, Cyber - AI Deployment Engineering (Pre-sales to Post-sales Technical Lead)
Builds
Production-ready AI security implementations for secure code review, vulnerability management, threat detection, incident response, SOC operations, and GRC automation.
Domain
Cybersecurity / AI Deployment / Enterprise Security
Required skills
Cybersecurity expertise (AppSec, DevSecOps, cloud security, SOC, incident response, vulnerability management, identity, security architecture), Solution architecture, Pre-sales and post-sales deployment experience, API and agent integration, Stakeholder management, Risk management, Adoption measurement
Preferred skills
Experience spanning both pre-sales solutions engineering and post-sales implementation, Hands-on cybersecurity expertise, Executive-level technical communication, Scoping pilots and defining success criteria
Technologies
APIs, agents, security tools, cloud platforms, data sources, enterprise workflows
Responsibilities
Lead technical discovery with security executives and engineering teams; Partner with Sales and Solutions Engineering on solution design, demonstrations, and proofs of concept; Translate customer requirements into architectures, deployment plans, and success criteria; Own the transition from pre-sales design to post-sales deployment; Build and troubleshoot integrations involving APIs, agents, and security tools; Identify and resolve deployment risks and product gaps; Help customers establish evaluation frameworks, governance controls, and monitoring; Measure adoption and business impact; Turn successful deployments into reusable architectures and playbooks.