Technical Marketing Manager, Secure AI Platform (Remote)

CrowdStrike is a global leader in cybersecurity, dedicated to stopping breaches with their advanced AI-native platform. The Technical Marketing Manager for Secure AI Platform will leverage technical expertise in AI security to create compelling demonstrations and content that enhance customer understanding and adoption of CrowdStrike's solutions.

Responsibilities:

• Develop and deliver compelling demonstrations of CrowdStrike’s capabilities to secure AI aligned to GTM motions, use cases, and threats across the AI lifecycle and attack surface
• Build workshops, technical whitepapers, and best practice guides that accelerate adoption and highlight CrowdStrike's differentiation in securing AI apps, models, and infrastructure
• Create technical thought leadership content including blogs, webinars, technical articles, and conference presentations that showcase CrowdStrike's innovation
• Support platform positioning and messaging by providing technical expertise on AI security threats, attack vectors, and platform capabilities
• Play a key role in launch planning and execution, ensuring technical readiness, demo availability, and field enablement for new platform AI security capabilities
• Collaborate with Sales Engineering and Enablement to develop technical sales plays, training materials that sharpen differentiation in AI security evaluations
• Represent CrowdStrike at events as a technical subject matter expert on securing AI, demonstrating platform capabilities and engaging with technical audiences

Requirements:

• 5+ years of cybersecurity or AI/ML experience in roles in technical marketing, sales engineering, solutions architecture, or related domains
• Bachelor's degree in computer science, cybersecurity, engineering, or related technical fields, or equivalent practical experience
• Proven experience creating and delivering complex technical demos, workshops, and enablement content for security solutions and audiences
• Excellent communication and presentation skills with the ability to clearly articulate technical value to different audiences from AI developers to CISOs
• Strong attention to detail and ability to manage multiple technical projects simultaneously across different product teams
• Ideal candidates will have a strong understanding of AI technical concepts including LLM inference pipelines, Model Context Protocol (MCP), RAG architectures, vector databases, and agentic architectures
• Ideal candidates will have domain knowledge on AI security threats such as prompt injection, jailbreaking, data poisoning, model theft, and AI supply chain security