Senior Staff Product Manager, AI Knowledge Graph & Intelligence
About The Position
Cisco Data Fabric is building the data foundation that connects, contextualizes, and activates machine data across hybrid environments. You will join a focused, highly collaborative team of product managers, engineers, architects, and AI and data specialists working across Splunk, Security, Observability, and IT. Our products transform telemetry, metadata, topology, and enterprise context into trusted knowledge that people and AI agents can reason over and act upon. We work closely with customers and internal product teams to solve complex data challenges at enterprise scale. This is an opportunity to help build an emerging knowledge graph platform at the center of Cisco’s data and AI strategy. Own a significant product area within the AI Knowledge Graph, translating customer needs and business priorities into a clear roadmap, product requirements, and measurable outcomes. Define capabilities that connect telemetry, assets, topology, metadata, and business entities to power semantic search, contextual analytics, retrieval-augmented generation, and agentic AI workflows. Partner with engineering and architecture to deliver graph schemas, ontology and metadata integrations, and scalable data-processing and enrichment pipelines. Drive the product lifecycle from discovery and prioritization through launch, adoption, and continuous improvement. Measure success through customer value, adoption, quality of contextual results, platform usage, and reuse across Security, Observability, and IT experiences.
Requirements
- Bachelor's Degree with 11+ years of experience.
- 8+ years of product management or equivalent technical product experience, including 3+ years working on enterprise data, AI/ML, search, metadata, or platform products.
- Experience delivering an enterprise software or data-platform capability from customer discovery and requirements definition through launch and adoption.
- Experience of knowledge graphs, graph databases, semantic models or ontologies, metadata systems, vector search, or retrieval-augmented generation.
- Experience defining products that use distributed data-processing technologies such as Apache Spark or comparable frameworks for large-scale ingestion, transformation, and enrichment.
- Experience creating product requirements, roadmaps, data or API requirements, prioritization frameworks, and measurable success criteria in partnership with engineering teams.
Nice To Haves
- Experience with technologies such as Neo4j, Amazon Neptune, RDF/OWL, GraphRAG, LangChain, vector databases, or hybrid semantic search.
- Familiarity with agentic AI, Model Context Protocol, enterprise RAG systems, embedding pipelines, or federated data architectures.
- Product experience in observability, cybersecurity, IT operations, machine data, or enterprise data intelligence.
- Experience building platform capabilities used by multiple products, personas, or business domains across hybrid or multi-cloud environments.
Responsibilities
- Own a significant product area within the AI Knowledge Graph, translating customer needs and business priorities into a clear roadmap, product requirements, and measurable outcomes.
- Define capabilities that connect telemetry, assets, topology, metadata, and business entities to power semantic search, contextual analytics, retrieval-augmented generation, and agentic AI workflows.
- Partner with engineering and architecture to deliver graph schemas, ontology and metadata integrations, and scalable data-processing and enrichment pipelines.
- Drive the product lifecycle from discovery and prioritization through launch, adoption, and continuous improvement.
- Measure success through customer value, adoption, quality of contextual results, platform usage, and reuse across Security, Observability, and IT experiences.
- Lead customer discovery and align engineering, architecture, design, go-to-market, and partner teams around clear product outcomes.
Benefits
- medical, dental and vision insurance
- a 401(k) plan with a Cisco matching contribution
- paid parental leave
- short and long-term disability coverage
- basic life insurance
- grants of Cisco restricted stock units
- 10 paid holidays per full calendar year
- 1 floating holiday for non-exempt employees
- 1 paid day off for 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 (non-exempt)
- flexible vacation time off program (exempt)
- 80 hours of sick time off provided on hire date and each January 1st thereafter
- up to 80 hours of unused sick time carried forward
- Additional paid time away may be requested to deal with critical or emergency issues for family members
- Optional 10 paid days per full calendar year to volunteer
- annual bonuses (for non-sales roles)
- performance-based incentive pay (for sales roles)
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
