Technical Marketing Manager, Secure AI Platform (Remote)
CrowdStrikeAbout the role
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.
About the Role:
The Technical Marketing Manager for Secure AI Platform will combine a deep technical expertise in AI security with hands-on marketing execution to demonstrate how CrowdStrike protects the complete AI lifecycle and attack surface. This role reports to the Head of AI Security Product Marketing and serves as a critical technical voice for the product marketing team, creating compelling demonstrations, technical content, and enablement assets that accelerate customer adoption and showcase CrowdStrike's differentiation in securing AI.
You will work across multiple product and services teams to represent the CrowdStrike Falcon platform's comprehensive capabilities spanning endpoints, applications, SaaS, identities, cloud workloads, and the new prompt and agent interaction layer. Your technical expertise will bridge product capabilities with market narratives, ensuring that CrowdStrike's messaging is both technically accurate and competitively compelling.
As a Technical Marketing Manager, you will create demonstrations, develop technical workshops, and produce practitioner-level content that helps customers understand how to secure AI systems against threats such as shadow AI, prompt injection, data poisoning, model theft, and agentic tool chain attacks. This is an individual contributor, hands-on role requiring technical depth, strong attention to detail and a burning desire to stay current on AI technologies and security threats.
What You'll Do:
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
What You'll Need:
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
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