Principal Data Scientist - Knowledge Engineering, Customer Success Data Platform

What you'll do

• Define knowledge architecture, including the knowledge graph, semantic layer, agent retrieval and governance.
• Prototype and deliver production systems, set architecture and evaluation standards, and make tooling decisions.
• Guide and mentor a cross-functional team while aligning technical work with business needs.

What they ask for

• 15+ years in data and knowledge engineering, or AI and ML engineering, including significant technical lead or architect experience.
• Track record architecting and shipping large-scale production data or knowledge systems.
• Expertise in knowledge modeling and hands-on experience building LLM-powered and agentic systems.
• Deep knowledge of AI infrastructure, semantic layers, governance, production programming, communication, and team mentorship.

Nice to have

• Experience in customer success, support, contact-center, or self-serve data-agent systems.
• Familiarity with semantic web standards, LLM evaluation tooling, regulated domains, or relevant publications and contributions.

Pay

Mountain View $247,500 - $335,000 USD base salary

Tools

GraphRAG, LangGraph, LlamaIndex, MCP, Neo4j, Neptune, Databricks, Snowflake

AI focus

Build an agentic intelligence layer using knowledge graphs, LLM-powered extraction and enrichment, RAG and GraphRAG, hybrid retrieval, multi-agent orchestration, and agent evaluation.