Senior Staff Product Manager – AI Knowledge Graph, Intelligence

This is a fully remote position, open to applicants in Texas, +1 more state.

📋 Description

• Take ownership of a key product segment within the AI Knowledge Graph.

• Convert customer requirements and business objectives into product roadmaps, specifications, and quantifiable results.

• Establish capabilities that integrate telemetry, assets, topology, metadata, and business entities.

• Facilitate semantic search, contextual analytics, retrieval-augmented generation, and agentic AI workflows.

• Collaborate with engineering and architecture on graph schemas, ontologies, metadata integrations, and scalable data-processing and enrichment pipelines.

• Manage the product lifecycle from initial discovery and prioritization through to launch, adoption, and ongoing enhancement.

• Assess customer value, adoption rates, contextual-result quality, platform usage, and reuse across Security, Observability, and IT experiences.

• Spearhead customer discovery and synchronize engineering, architecture, design, go-to-market, and partner teams towards achieving product outcomes.

⛳️ Requirements

• Bachelor's Degree with over 11 years of experience.

• More than 8 years of product management or comparable technical product experience.

• At least 3 years of experience in enterprise data, AI/ML, search, metadata, or platform products.

• Proven experience in delivering enterprise software or data-platform capabilities from customer discovery and requirements specification to launch and adoption.

• Familiarity with knowledge graphs, graph databases, semantic models or ontologies, metadata systems, vector search, or retrieval-augmented generation.

• Experience in defining products utilizing distributed data-processing technologies like Apache Spark or similar frameworks for large-scale ingestion, transformation, and enrichment.

• Proficient in creating product requirements, roadmaps, data or API specifications, prioritization frameworks, and measurable success criteria in collaboration with engineering teams.

• Preferred: experience with Neo4j, Amazon Neptune, RDF/OWL, GraphRAG, LangChain, vector databases, or hybrid semantic search.

• Preferred: knowledge of agentic AI, Model Context Protocol, enterprise RAG systems, embedding pipelines, or federated data architectures.

• Preferred: product experience in observability, cybersecurity, IT operations, machine data, or enterprise data intelligence.

• Preferred: experience in building platform capabilities utilized by multiple products, personas, or business domains in hybrid or multi-cloud settings.

• Ability to lead customer discovery and align cross-functional teams around clear product objectives.

🏝️ Benefits

• Medical, dental, and vision insurance.

• 401(k) plan with Cisco matching contribution.

• Paid parental leave.

• Short- and long-term disability coverage.

• Basic life insurance.

• Cisco restricted stock unit grants may be available.

• 10 paid holidays per full calendar year.

• 1 floating holiday for non-exempt employees.

• 1 paid day off for the employee’s birthday.

• Paid year-end holiday shutdown.

• 4 paid days off for personal wellness.

• 16 days of paid vacation time per full calendar year for non-exempt employees.

• Flexible vacation time off program with no defined limit for eligible exempt employees.

• 80 hours of sick time off provided on hire date and each January 1st thereafter.

• Up to 80 hours of unused sick time may be carried forward.

• Additional paid time off for critical or emergency family issues.

• Optional 10 paid volunteer days per full calendar year.

• Annual bonuses for non-sales roles, in accordance with Cisco policies.

• Sales employees may receive performance-based incentive pay.