Director, Product Management - Threat AI Detections
About the role
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
- 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
- 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.
Qualifications
- 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.
Preferred Qualifications
- 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.
Pay
The starting salary range posted for this position is $230,100.00 to $325,300.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training.
Schedule
The schedule for this role is open to remote work, preferred candidates will be based in Milpitas, CA or Fulton, MD.