Director, AI Product Management

Cisco
San Jose, California, US$230k – $325kPosted 13 March 2026

Job Description

The application window is expected to close on: 03/13/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Location: San Jose, CA Alternate location: Anywhere on the west coast Meet The Team The Cisco AI Software & Platform Group incubates and delivers Generative AI based solutions to reinvent Cisco's existing Products and how customers harmonize with them. Our Group is also introducing new offerings that help customers roll out Generative AI at scale while doing so responsibly. Ultimately, we are doing so through internal platforms that unlock the benefits of this technology for Cisco teams and partners across our Security, Enterprise Networking, and Splunk portfolios. Your Impact We are launching a ground-breaking internal AI initiative to unify and supercharge the sales experience across Cisco. Our vision is to consolidate critical tools, marketing collateral systems, and more—into a single intelligence layer that gives every seller real-time, contextual information for every deal. We are seeking a Director, AI Product Management with deep expertise in AI for productivity and work to lead this effort from strategy to execution. You’ll shape the next generation of AI-powered enterprise productivity inside one of the world’s largest technology companies. This is a high-visibility role with direct impact on Cisco’s revenue engine and a mandate to innovate at scale. Be responsible for the platform vision and strategy for a single management pane that unifies Cisco products and third-party integrations. Define APIs and data contracts that enable secure, real-time information flow and contextual recommendations. Lead AI-native experiences: recommendations, autonomous remediation, natural-language, and agentic workflows that learn from practitioner actions. Deliver experiences that give salespeople deal-specific intelligence at their fingertips—from call summaries and opportunity scoring to the best marketing content for each stage of the customer journey. Ensure the platform adapts to different sales motions (enterprise, mid-market, channel) and supports global scale. Validate with stakeholder teams; set adoption, and TTV targets; instrument the platform for actionable metrics. Run alpha/beta/GA programs; lead backlog and phased delivery across multiple teams; ship value continuously. Minimum Qualifications Bachelors + 15 years of related experience, or Masters + 12 years, or PhD + 8 years in product management (or equivalent), including platform or cross-portfolio products. Confirmed delivery of multi-product or ecosystem platforms (APIs, data models, identity/policy, extensibility). 3+ years building AI-powered product experiences (e.g., retrieval-augmented assistants, recommendations, or automation). Proficiency with cloud architectures (multi-tenant SaaS, microservices, data pipelines, eventing) and observability/security basics. Strong partner leadership across engineering, design, CX, sales, partners, and executive forums. Preferred Qualifications Background spanning networking, security, observability and lifecycle management at enterprise scale. Experience with policy engines, automation/orchestration, and agentic workflows. Proficient in defining critical metrics and running evidence-based roadmaps. Background in sales technology (CRM, sales enablement, or marketing automation). Experience building products for large, distributed sales organizations and familiarity with data governance and enterprise security requirements. 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 ... (truncated, view full listing at source)
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