Senior Product Manager — Knowledge Asset Platform

Adobe; San Jose (CA); On-site; USD 166,000 - 240,000; Full time

Job summary

Adobe is seeking a Senior Product Manager to own the knowledge-layer execution across the data platform, focusing on knowledge-asset modeling, retrieval interfaces, and embedding/RAG pipelines. You will partner with engineering and data science to turn a multi-quarter roadmap into shipped capabilities.

You will drive delivery from inception to launch, ensuring freshness, provenance, and safety signals while building human-in-the-loop workflows and clear PRDs for governance and adoption.

Qualifications

• 7+ years of product management experience, including 2+ years owning a data platform or enterprise data product end to end.
• Working knowledge of knowledge-graph concepts, embedding pipelines, RAG architectures, MCP servers, and agent skills.
• Experience with human-in-the-loop quality and correction workflows in production data systems.
• Ability to write engineering PRDs translating complex systems into clear problems and measurable success.

Responsibilities

• Own the product roadmap — develop and drive a 6–12 month roadmap for knowledge-asset modeling and retrieval APIs.
• Lead delivery from inception to launch across engineering and build, balancing value, time-to-market, and risk.
• Own knowledge freshness and lifecycle — ingestion, versioning, deprecation, and currency of definitions.
• Deliver trust signals for freshness, lineage, and quality for agent consumption and platform readiness.
• Build human-in-the-loop correction workflows and propagate corrections downstream.
• Write clear PRDs with prioritized features, specifications, and performance/guidance metrics.
• Partner across the platform team to align with metadata, telemetry, and governance.

Skills

Product management

Data platform

AI knowledge

Cross-functional leadership

PRD writing

Rapid prototyping

Systems thinking

Cross-functional influence

Job description

Adobe is seeking a Senior Product Manager to own the knowledge-layer execution across the data platform, focusing on knowledge-asset modeling, retrieval interfaces, and embedding/RAG pipelines. You will partner with engineering and data science to turn a multi-quarter roadmap into shipped capabilities.

You will drive delivery from inception to launch, ensuring freshness, provenance, and safety signals while building human-in-the-loop workflows and clear PRDs for governance and adoption.