Define data strategies for Showpad's Revenue Intelligence engine.
•Own the unified data intelligence layer powering Showpad's Revenue Intelligence engine, defining data capture, modeling, retrieval, and inference strategies across search, RAG, and knowledge graphs.
•Key Responsibilities Design canonical data models for entities and choose retrieval strategies (keyword, vector, graph).
•Own end-to-end RAG/search pipelines including chunking, embeddings, and indexing.
•Drive roadmap for Revenue Intelligence features like Deal Health and Winning Behavior.
•Enable platform teams with semantic primitives, taxonomies, and data contracts.
•Requirements 5+ years PM experience with ≥2 years on data platforms, search, analytics, or ML products.
•Hands-on experience with RAG/search systems and retrieval trade-offs (BM25, vector search, reranking).
•Fluency with data lake architectures (Delta Lake, BigQuery) and entity-relationship modeling.
•ML fluency to define features, labeling, and evaluation metrics.