Sr. AI Product Manager - Hybrid

The application window is expected to close on: 04/30/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . This position is based in San Jose, CA, North Carolina, or Seattle and operates under a hybrid work model. Meet the Team The Enterprise AI Platforms and Enablement team is a high-impact group formed from experts across CX, IT, and Design. They own key platforms like Circuit and Enterprise Search, serving as the central engine for Cisco’s enterprise AI strategy. The team is dedicated to driving the development and launch of advanced AI-powered automation products that streamline workflows across engineering, finance, and general employee domains. Their work fits into the larger picture by enhancing productivity and integrating seamlessly with enterprise platforms to support business goals. Your Impact As a Senior AI Product Manager, you will play a critical role in shaping our product portfolio across two strategic pillars: Infrastructure Efficiency and User Experience. You will drive initiatives to optimize token costs through engineering collaboration and build super agents via our Agent Builder project to manifest advanced user experiences on the web. You will own the product lifecycle, monitoring usage metrics closely to identify adoption trends and proactively implementing strategies to maintain our ambitious productivity targets. By translating complex technical requirements into actionable roadmaps, you will work cross-functionally to ensure every product we ship is secure, cost-effective, and delivers measurable value to 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). Privacy & Trust: Champion privacy-by-design, ensuring features such as “right to be forgotten,” persistent memory controls, and secure user data handling are prioritized and implemented. 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. Skills Marketplace Development: Collaborate with internal security/AI teams to develop and vet an internal skills marketplace, enabling secure skill sharing and automation. 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 familiarity with privacy, security, and compliance requirements in SaaS/enterprise environments. Preferred Qualifications Deep expertise in generative AI or large-scale automation platforms. Strong analytical skills; comfortable synthesizing complex feedback and translating it into clear product requirements. 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 ... (truncated, view full listing at source)