Senior PM, AI Knowledge Graph & Semantic Analytics

Cisco; Seattle (WA); On-site; USD 179,000 - 294,000; Full time

Job summary

Cisco is building an AI Knowledge Graph platform to connect telemetry, topology, and metadata for semantic search and intelligent workflows. You will define the roadmap, write requirements, and partner with engineering to deliver graph schemas and data pipelines.

The role drives product lifecycle from discovery to launch and adoption, with success measured by adoption, quality, and cross-domain reuse across Security, Observability, and IT experiences.

Qualifications

• 11+ years of experience with a Bachelor’s degree, including 8+ years in product management or equivalent technical product experience.
• 3+ years delivering enterprise data, AI/ML, search, metadata, or platform products from discovery through adoption.
• Experience defining products using distributed data processing technologies like Spark; creating measurable success criteria with engineering.

Responsibilities

• Own a major product area in the AI Knowledge Graph, translating customer needs into a roadmap and requirements.
• Define capabilities connecting telemetry, topology, metadata, and business entities for semantic search and retrieval-augmented generation.
• Lead lifecycle from discovery to launch, adoption, and continuous improvement with cross-functional teams.
• Measure success by customer value, adoption, quality of contextual results, platform usage, and reuse.

Skills

Product management

AI/ML products

Knowledge graphs

Graph databases

Data processing

Roadmaps & requirements

Education

Bachelor's degree

Tools

Apache Spark

Neo4j

Amazon Neptune

RDF/OWL

LangChain

Vector databases

Job description

Cisco is building an AI Knowledge Graph platform to connect telemetry, topology, and metadata for semantic search and intelligent workflows. You will define the roadmap, write requirements, and partner with engineering to deliver graph schemas and data pipelines.

The role drives product lifecycle from discovery to launch and adoption, with success measured by adoption, quality, and cross-domain reuse across Security, Observability, and IT experiences.