Director, Product Management - Threat AI Detections

Director Of Product Management, Threat Ai Detections

This role sits at the intersection of artificial intelligence, threat intelligence, cybersecurity product strategy, and cross-functional leadership. The successful candidate will help define the future of AI-driven threat detection and real-time in line protections and play a key role in closing emerging security gaps related to AI agents and next-generation attack techniques.

Responsibilities include:

• Define and Drive AI Detection Strategy

  • Develop and execute a multi-product strategy for AI-powered threat detections and protections.

  • Scale Talos' proprietary AI and machine learning capabilities to stay ahead of sophisticated cyber threats and nation-state adversaries.

  • Identify emerging threat trends and translate them into detection and protection capabilities across Cisco's security portfolio.

• Own the Product Lifecycle

  • Lead the end-to-end lifecycle of AI and ML detection engines and protection services, from ideation and experimentation through production deployment and eventual retirement.

  • Define and measure success through coverage, efficacy, performance, adoption, and customer outcomes.

  • Drive continuous innovation while balancing operational excellence and scalability.

• Drive Portfolio Integration

  • Lead the integration of Talos AI detections and protections across Cisco Security products and platforms.

  • Create a unified intelligence-first customer experience across network, cloud, endpoint, identity, and AI security solutions.

  • Partner across engineering, data science, product, and security teams to define common data models, telemetry requirements, and detection frameworks.

  • Collaborate with ecosystem partners, SIEM, SOAR, and Cisco Cloud control and Security control platforms to maximize customer value.

• Lead Through Influence

  • Align stakeholders around strategic priorities, technical direction, and business outcomes and drive cross-functional execution across globally distributed teams.

• Establish Responsible AI Practices

  • Define standards for ethical, transparent, and resilient AI security solutions to ensure AI detection models are unbiased, explainable, secure, and resistant to adversarial attacks.

  • Align products with global privacy, compliance, and data sovereignty requirements.

• Bachelor's degree and 12+ years of experience, or Masters and 8+ years of experience, or PhD and 6+ years of experience to include 4+ years of direct or indirect people leadership.

• 5+ years of leadership experience in enterprise cybersecurity offerings to include threat intelligence or security centric AI/ML-based products.

• Experience building and scaling security platforms, detection technologies, or threat intelligence solutions.

• Experience driving large, cross-functional initiatives across engineering, data science, and business teams.

• Experience with threat intelligence, detection engineering, or security operations.

• Experience leading multi-product or platform-level strategies.

• Familiarity with GenAI, Agentic AI, LLM security, and AI governance frameworks.

• Advanced degree (MS, MBA, or PhD) in a relevant field.

• Strong communication and executive presentation skills.