Description
The Enterprise AI Platforms & Infrastructure (EAIPI) organization, specifically the Cloud Management and Operations (CMO) team, is seeking a Principal Product Manager for RunOn Cloud AI Agent.
As the Principal Product Manager, you will own the end-to-end product vision, lifecycle, and roadmap for Cisco’s flagship infrastructure AI assistant. You will translate complex cloud infrastructure capabilities into seamless conversational and headless agentic workflows.
Key Responsibilities:
- Define and drive the multi-quarter strategy and roadmap for RunOn Cloud AI Agent
- Evaluate feature requests for their holistic impact across the broader Enterprise AI ecosystem
- Author crisp, actionable Product Requirement Documents (PRDs), feature specifications, acceptance criteria, and quantitative fitness functions
- Partner with Principal Architects, Engineering Managers, InfoSec, Privacy, and Legal to guide architectural proposals through the Architecture Review Board (ARB)
- Drive the product definition for Agent Registry and IDE and agent-client integrations
- Define requirements for compound action orchestration via DAG Agents
- Establish quantitative benchmarks for latency SLOs, intent classification precision, routing accuracy, and token efficiency
- Collaborate with UX designers to deliver state-of-the-art conversational experiences
- Conduct regular focus groups, user testing sessions, and executive demos
Minimum Qualifications:
- Bachelor's degree with 10+ years of technical product management experience; or master’s degree with 8+ years; or PhD with 5+ years
- Proven success taking enterprise AI or platform infrastructure products from conception through pilot validation to enterprise-scale general availability (GA)
- Breadth across multiple cloud providers (AWS, Azure, GCP), Kubernetes, and private cloud
- Demonstrated ability to write comprehensive PRDs with measurable acceptance criteria
- Solid grasp of enterprise security principles, zero-trust architectures, RBAC authorization, tenant data isolation, and compliance standards
Preferred Qualifications:
- Deep technical knowledge of agent architectures, Model Context Protocol (MCP), LangGraph, DSPy, vector databases
- 4+ years dedicated to AI/ML, NLP, conversational AI, or LLM-based agent systems
- Familiarity with Cloud Management Platforms (MCMP), FinOps cost governance, IT service management, and site reliability engineering (SRE) workflows
- Exceptional communication, storytelling, and relationship-building skills
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