Principal Product Manager, AI - Hybrid

The application window is expected to close on: 10/14/2026

This position is based in San Jose, CA or North Carolina and operates under a hybrid work model.

** Meet the Team*
* The Enterprise AI Platform team is the central engine for Cisco's enterprise AI strategy. Comprising experts across engineering, UX, and product, we own the platform that enables the development of AI solutions for enterprise problems at scale.

** Your Impact*
* As a Principal AI Product Manager, you will play a critical role in driving the roadmap for Cisco's agentic platform and experiences. You will own the product lifecycle end-to-end, translating complex technical capabilities into actionable roadmaps. You will collaborate cross-functionally to deliver secure, high-impact AI solutions that empower our global workforce.

** Key Responsibilities*
* + Product Strategy &

Roadmap:

Develop and refine the vision, strategy, and roadmap for enterprise AI solutions, aligning with stakeholder needs and Cisco's business goals.

+ Requirements Gathering & PRD Ownership:
Lead the requirements gathering process; synthesize user problems and solution ideas from focus groups and other sources into clear, actionable Product Requirement Documents (PRDs).

+ Cross-Functional Leadership:
Work closely with engineering, design, security, legal, and business teams to ensure successful product delivery and compliance with privacy/security standards.

+ User-Centric Design:
Advocate for automation features that address high-impact workflows and integrate with complex enterprise tools (e.g., Webex, Outlook, SharePoint, Jira).

+ Stakeholder Engagement:
Facilitate user focus groups, synthesize feedback, and iterate on prototypes to ensure solutions meet real-world needs.

+ Metrics & Success Evaluation:
Define indicators for pilots and user testing; analyze data to advise product improvements and drive adoption.

** Minimum Qualifications*
* + 10+ years in product management, with specific domain experience in AI (e.g., Machine Learning, Natural Language Processing, or Reinforcement Learning).

+ Proven track record of launching successful products from concept to pilot to deployment in enterprise environments.

+ Experience working with technical teams and understanding APIs, integrations, and enterprise data architectures.

+ Strong analytical skills; comfortable synthesizing complex feedback and translating it into clear product requirements.

+ Strong familiarity with privacy, security, and compliance requirements in SaaS/enterprise environments.

** Preferred Qualifications*
* + Deep expertise in generative AI or large-scale automation platforms.

+ Experience facilitating workshops, focus groups, and user testing.

+ Ability to work independently and lead cross-functional teams in a hybrid office environment (San Jose, RTP, or Seattle).

+ Experience in building privacy-forward and trustworthy experiences

+ Strategic vision with a hands-on approach to execution and metric-driven product management.

** Why Cisco?*
* At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

** Message to applicants applying to work in the U.S. and/or Canada:*
* The starting salary range posted for this position is $ to $ 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. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S.…