Staff AI Product Manager, Enterprise Platform

Cisco Systems, Inc.

Milpitas (CA)

Hybrid

USD 172,000 - 245,000

Full time

3 days ago
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Benefits offered by this job

Hybrid work model
Competitive compensation

Job summary

Cisco Systems, Inc. is seeking a Staff AI Product Manager to lead the roadmap for Cisco's enterprise AI platform and experiences. You will own the end-to-end product lifecycle, translating complex AI capabilities into actionable roadmaps for a global workforce.

You will collaborate with engineering, design, security, legal, and business teams to deliver secure, high-impact AI solutions and ensure compliance with privacy standards. This hybrid role supports multiple U.S.

Qualifications

  • 8+ years in product management with AI domain experience (ML/NLP/LLM).
  • Experience launching enterprise AI products from concept through deployment.
  • Understanding of APIs, integrations, and enterprise data architectures.
  • Strong analytical skills and ability to translate feedback into requirements.

Responsibilities

  • Develop the vision, strategy and roadmap for enterprise AI solutions.
  • Evaluate feature requests for platform ecosystem impact and avoid fragmentation.
  • Own PRD creation and requirements gathering from focus groups and sources.
  • Collaborate with engineering, design, security, legal and business teams to ensure delivery and privacy/security compliance.
  • Influence roadmap and architecture decisions through data and stakeholder engagement.
  • Advocate for automation features addressing high-impact workflows with enterprise tools.

Skills

AI product management
Enterprise platforms
APIs & integrations
Cross-functional leadership
Data-driven decision making

Tools

Jira

Job description

Cisco Systems, Inc. is seeking a Staff AI Product Manager to lead the roadmap for Cisco's enterprise AI platform and experiences. You will own the end-to-end product lifecycle, translating complex AI capabilities into actionable roadmaps for a global workforce.

You will collaborate with engineering, design, security, legal, and business teams to deliver secure, high-impact AI solutions and ensure compliance with privacy standards. This hybrid role supports multiple U.S.

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