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Senior Product Manager, Context Engineering

1 month ago
United States
Full-time
Senior
Product Manager
Product Management
Neo4j Python SQL
Apply Now
ZoomInfo

ZoomInfo

ZoomInfo provides a comprehensive B2B database that offers accurate and actionable contact and company intelligence, enabling sales and marketing teams to enhance their campaigns and improve prospecting efforts through access to direct dial phone numbe...

Professional Services
1K-5K
Founded 2000
View All Jobs 14

Description

  • Architect context acquisition pipelines that retrieve, transform, and deliver context from semantic data, memory systems, and data producers.
  • Own the context layer platform as an internal product serving multiple teams across Copilot, GTM Studio, and MarketingOS.
  • Establish API contracts, developer experience standards, and integration patterns for platform adoption.
  • Implement evaluation frameworks and monitor retrieval precision, context relevance, hallucination rates, and system performance in production.
  • Partner with ML engineers to improve embedding models, reranking strategies, and retrieval algorithms.
  • Evaluate emerging context-engineering research and decide which techniques merit production investment.
  • Translate between ML engineers, platform engineers, and product teams to drive cross-functional execution.
  • Set prioritization frameworks and communication cadences that balance urgent feature needs with long-term platform development.

Requirements

  • 4-6 years of product management experience, including 2+ years in ML/AI infrastructure.
  • Direct experience with production RAG systems, vector databases, semantic search, or context management.
  • Experience with graph databases such as Neo4j.
  • Track record of building platform products for multiple internal or external customers.
  • Familiarity with context compression, embedding models, and retrieval evaluation frameworks.
  • Experience defining product vision in emerging technical domains where best practices are still evolving.
  • Expert-level understanding of RAG system architecture.
  • Proficiency in Python and SQL for code review, analysis, and prototyping.
  • Ability to read recent research from sources such as arXiv, ACL, and NeurIPS.
  • Ability to communicate technical tradeoffs and business impact clearly to executives and engineers.

Benefits

  • US base salary of $89,200 to $133,800.
  • Additional compensation may include bonus, commission, and equity.
  • Comprehensive benefits package.
  • Holistic mind, body, and lifestyle programs for overall well-being.
  • Remote work designation (#LI-remote).
  • Equal opportunity employer committed to fair hiring practices.

Interested in this position?

Apply directly on the company website

Apply Now

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