Related skills
bigquery rag delta lake vector search knowledge graph📋 Description
- Define canonical data model for deals, contacts, and skills
- Design retrieval strategy: keyword, vector, hybrid, or graph traversal
- Own end-to-end RAG pipeline: chunking, embeddings, indexing
- Drive Revenue Intelligence roadmap to prescriptive AI
- Own product logic for Deal Health and Winning Behavior models
- Platform enablement: semantic primitives and data contracts
🎯 Requirements
- 5+ years in PM; 2+ years owning data platforms, search, analytics, or ML products
- Retrieval Expertise: shipped RAG pipelines; BM25 vs vector vs reranking
- Data Tech: fluency with Datalake architectures (Delta Lake, BigQuery) and ER modeling
- ML Fluency: define features, label designs, and evaluation metrics
- Translate complex infrastructure into business value for executives
- Nice to have: B2B SaaS, CRM, or graph databases (Neo4j/Neptune)
🎁 Benefits
- Inclusive culture with growth opportunities
- Volunteer time off and paid time off program
- Personal development opportunities and professional stretch assignments
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