Senior Product Manager — AI Security & Defense

Cisco Systems, Inc

San Jose (CA)

Hybrid

USD 195,000 - 286,000

Full time

4 days ago
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Job summary

Cisco Systems, Inc is seeking a senior product leader to own AI Security within Cisco AI Defense. You will shape a 12- to 18-month strategy and a longer-term vision, guiding cross-functional teams through development, launch, and adoption of enterprise AI security solutions.

You will partner with Engineering, Security Research, and Architecture to translate strategy into multi-quarter roadmaps, assess AI models and architectures, and drive differentiated platform capabilities for enterprise

Qualifications

  • Bachelor’s degree (or higher) in a relevant field.
  • Minimum 12+ years in product management; 8+ years with Master’s; 5+ years with PhD.
  • Experience owning enterprise SaaS products with end-to-end ownership.

Responsibilities

  • Own AI Security product domain with end-to-end accountability for outcomes, strategy, roadmap, execution, launch, and adoption.
  • Develop multi-quarter roadmaps with measurable outcomes and clear priorities.
  • Lead customer discovery with enterprise security leaders and AI/ML teams to translate requirements into scalable product decisions.
  • Influence strategy and roadmap decisions across Engineering, Research, Design, GTM, and partners.
  • Identify new market opportunities and product adjacencies in AI Defense and cybersecurity.

Skills

Product management
Enterprise SaaS
Strategic roadmaps
Cross-functional leadership
Customer discovery
Technical depth
Stakeholder influence

Education

Bachelor’s degree
Master’s degree
PhD

Tools

APIs
SDKs
Cloud platforms
Distributed systems

Job description

Cisco Systems, Inc is seeking a senior product leader to own AI Security within Cisco AI Defense. You will shape a 12- to 18-month strategy and a longer-term vision, guiding cross-functional teams through development, launch, and adoption of enterprise AI security solutions.

You will partner with Engineering, Security Research, and Architecture to translate strategy into multi-quarter roadmaps, assess AI models and architectures, and drive differentiated platform capabilities for enterprise

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