The ideal candidate brings a strong product mindset, along with prior experience in engineering and architecture, and can define product direction for capabilities such as AI governance tooling, model and agent security controls, prompt and data protection, AI observability, policy enforcement, identity and access controls, and secure AI lifecycle workflows. This role sits at the intersection of product management, cybersecurity, engineering, and architecture, translating emerging AI security risks into practical platform capabilities, controls, and operating processes.