Showpad
SaaS
SeniorProductManager,DataIntelligence&KnowledgeGraph
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Product Manager, Data Intelligence & Knowledge Graph at Showpad. Skills: Data Intelligence, Knowledge Graph, Revenue Intelligence, RAG Pipelines. Define data model. Establish retrieval strategy”
What You'll Achieve.
Transform raw signals into prescriptive AI guidance; Powering the next generation of field selling success
Industry & Context.
Translating fuzzy business questions into scoped ML problems
What They're Looking For.
Must Have
5+ years in PM, 2 years specifically owning data platforms, search, analytics, or ML products, Hands-on experience shipping RAG pipelines or search systems, Fluency with Datalake architectures, Entity-relationship modeling skills, Ability to define features, label designs, and evaluation metrics, Review a technical design doc alongside engineers, Translate complex technical infrastructure into clear business value
Nice to Have
Experience in B2B SaaS, CRM, or Sales Enablement, Knowledge of graph databases, Prior background as a Data Engineer or Scientist
What You'll Do.
Establish retrieval strategy
Write technical specs
Define evaluation metrics
Drive revenue intelligence roadmap
Act as internal PM champion
Conduct customer discovery
Translate business questions into ML problems
How You'll Work.
Team & Collaboration
Providing semantic primitives, event taxonomies, and data contracts to other product squads
Communication Scope
Translating complex technical infrastructure into clear business value for executive stakeholders
Full Job Description
About the position Showpad is building a Revenue Intelligence engine that transforms raw signals—CRM data, email threads, transcripts, and content engagement—into prescriptive AI guidance. We are looking for a technical Product Manager to own the unified data intelligence layer that powers this engine. You will define how we capture and model data, and critically, determine the best retrieval and inference strategies (Search, RAG, Knowledge Graphs, or Vector Similarity) for every use case. Key Responsibilities Data Modeling & Architecture: Define the canonical model for entities (deals, contacts, skills) and establish the retrieval strategy—choosing between keyword, dense vector, hybrid, or graph traversal based on latency and accuracy. Search & RAG Ownership: Own the end-to-end RAG pipeline (chunking, embeddings, indexing). Write technical specs for retrieval layers in Meeting Prep and Roleplay AI, and define evaluation metrics (Recall@k, MRR). Revenue Intelligence Roadmap: Drive the vision from "trusted foundation" to "prescriptive AI." Own the product logic for Deal Health and Winning Behavior models. Platform Enablement: Act as the internal PM champion for the data platform, providing semantic primitives, event taxonomies, and data contracts to other product squads. Discovery & Strategy: Conduct deep customer discovery and stay ahead of LLM/Search trends, translating fuzzy business questions into scoped ML problems. Required Skills Must haves 5+ years in PM: at least 2 years specifically owning data platforms, search, analytics, or ML products. Retrieval Expertise: Hands-on experience shipping RAG pipelines or search systems. You understand the trade-offs between BM25, vector search, and reranking. Data Technicality: Fluency with Datalake architectures (Delta Lake, BigQuery, etc.) and strong entity-relationship modeling skills. ML Fluency: Ability to define features, label designs, and evaluation metrics. You can review a technical design doc alongside engineers
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