Senior Product Manager, Data Platform - Knowledge & Retrieval

What you'll do

• Develop and manage a 6–12 month roadmap for knowledge-asset modeling, retrieval APIs, and RAG pipelines.
• Lead the end-to-end delivery of product features from initial inception through to launch.
• Define processes for knowledge asset ingestion, versioning, deprecation, and lifecycle management.
• Establish trust signals including freshness, lineage, and quality metrics for agent-ready data assets.
• Design human-in-the-loop workflows to trigger manual reviews and propagate corrections to downstream consumers.
• Write technical PRDs that translate complex platform requirements into clear features and performance measures.
• Build rapid prototypes using "vibe-coding" to de-risk engineering decisions before development begins.

What we're looking for

• You must have at least 7 years of product management experience.
• You must have at least 2 years of experience owning a data platform, infrastructure, or enterprise data product end to end.
• You must possess fluency in knowledge-graph concepts, embedding pipelines, RAG architectures, MCP servers, and agent skills.
• You must have experience with human-in-the-loop quality and correction workflows in production data systems.
• You must be able to write engineering PRDs that translate complex technical systems into clear features and measurable metrics.
• You must be able to design and build quick prototypes through vibe-coding (Claude Code preferred).
• You must demonstrate the ability to drive cross-functional delivery across engineering and programs through influence rather than authority.