Senior Product Manager, Context Engineering

ZoomInfo • Waltham, MA

72d • Hybrid

About The Position

ZoomInfo built the industry's most sophisticated GTM data acquisition infrastructure. Now we're applying that same rigor to context engineering-the emerging discipline that determines whether AI systems deliver transformative value or incremental improvement. This role architects the context layer powering our AI intelligence across Copilot, GTM Studio, and MarketingOS. You'll transform how ZoomInfo's agentic workflows access, compress, and deliver precisely the right information at exactly the right moment. The impact is organization-wide: every AI interaction, every intelligent recommendation, every autonomous agent action depends on the context infrastructure you'll build. We've transitioned to AI-first product thinking company-wide. The context pipelines exist but remain nascent-creating a rare opportunity to define architectural patterns and platform standards that compound value across multiple product teams in the years to come.

Requirements

• 4-6 years of product management experience with 2+ years in ML/AI infrastructure.
• Direct experience with production RAG systems, vector databases, or semantic search, context management.
• Experience with graph databases (e.g. Neo4j).
• Track record building platform products serving multiple internal or external customers.
• Familiarity with context compression, embedding models, and retrieval evaluation frameworks.
• History of defining product vision in nascent technical domains where best practices are still emerging.

Responsibilities

• Architect Context Acquisition Pipelines: Design and optimize how ZoomInfo retrieves, transforms, and delivers context from our semantic data layer, memory systems, and data producers.
• Own the Context Layer Platform: Build infrastructure serving multiple product teams-Copilot, GTM Studio, MarketingOS-as internal customers.
• Drive Quality Through Measurement: Implement evaluation frameworks using RAGAS metrics and custom benchmarks.
• Navigate Emerging Research: Continuously evaluate innovations in context engineering and determine which advances warrant production investment.
• Orchestrate Cross-Functional Execution: Translate between ML engineers, platform engineers, and product teams to establish communication and prioritization frameworks.

Benefits

• Remote work options
• Flexible working hours
• Collaborative work environment
• Opportunities for professional development

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
• Number of Employees: 1,001-5,000 employees