Hybrid Product Director – AI Knowledge Graph, Intelligent Data

at Cisco

• Job title: Product Director – AI Knowledge Graph, Intelligent Data
• Job type: Full Time
• Experience level: Lead
• Salary: $225,000 - $325,300 per year
• Degree requirement: Postgraduate Degree
• Tech skills: Spark, Splunk
• Location requirements: Hybrid, San Jose, United States

About the role

• Product Director leading AI Knowledge Graph strategy for Splunk’s Data Fabric initiatives. Driving product definition and data processing strategies in AI-driven environments.

Responsibilities

• Define the AI Knowledge Graph product strategy across Splunk’s Data Fabric, contextualizing telemetry, metadata, and semantics into a machine-intelligence foundation.
• Drive the product strategy and roadmap for graph-enabled data processing, reasoning, and enrichment pipelines integrated with Spark-based workloads.
• Build semantic linking between telemetry, topology, assets, and business entities, enabling context-aware AI and multi-agent reasoning.
• Partner with engineering and architecture teams to integrate graph and vector data into AI pipelines, enabling retrieval-augmented generation (RAG), intelligent federation, and AI-native observability.
• Lead product definition for graph schema, ontology management, and metadata catalog integration, ensuring interoperability with open standards and Splunk-managed repositories.
• Define data processing and enrichment workflows employing Spark for scalable ingestion, transformation, and embedding creation.
• Collaborate cross-functional (AI/ML, data platform, federated analytics, and security) to translate CDF strategy into technical product outcomes.
• Ensure alignment with Cisco’s AI ecosystem, bridging machine data with enterprise context for trusted AI operations.

Requirements

• 15+ years of product management experience, including 5+ years in AI, knowledge graph, or data platform leadership.
• Deep understanding of AI/ML systems, graph-based reasoning, LLM integration (RAG, agents), and ontology-driven metadata models.
• Experience with Spark or distributed data processing frameworks supporting AI pipelines and large-scale graph operations.
• Strong technical fluency in vector databases, graph stores, knowledge representation, and hybrid semantic search.

Benefits

• medical, dental and vision insurance
• 401(k) plan with a Cisco matching contribution
• paid parental leave
• short and long-term disability coverage
• basic life insurance
• 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 determined by Cisco
• Non-exempt employees receive 16 days of paid vacation time per full calendar year
• Exempt employees participate in Cisco’s flexible vacation time off program
• 80 hours of sick time off provided on hire date
• up to 80 hours of unused sick time carried forward from one calendar year to the next
• Optional 10 paid days per full calendar year to volunteer