Senior Product Manager, Data Platform - Knowledge & Retrieval

Adobe

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Work type
On-site
Location
San Jose, CA
Employment
Full-time
Posted
39 days ago
Freshness
Confirmed live today

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Similar $201k
$159k $243k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $177,250–$224,350.

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About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 282 open roles on FindRole.

Listed pay typically runs $148,100–$282,100 across 76 roles with salary data.

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TL;DR · Senior Product Manager, Data Platform - Knowledge & Retrieval

The Senior Product Manager, Data Platform - Knowledge & Retrieval joins the data platform team to manage the knowledge tier of a vertical data intelligence stack. In this role, you will own the product roadmap for knowledge-asset modeling, retrieval APIs, and agent-integration interfaces. You will lead delivery from inception to launch, defining how curated definitions are ingested, versioned, and maintained to ensure agents retrieve trustworthy data. Key responsibilities include writing engineering PRDs, building human-in-the-loop correction workflows, and developing embedding and RAG pipelines. You must demonstrate fluency in knowledge-graph concepts, MCP servers, and agent skills. You will use tools like Claude Code for rapid prototyping to de-risk build choices. This role solves the technical challenge of transforming raw signals into retrieval-ready, agent-optimized knowledge assets for enterprise systems.

What does a Product Manager earn in California?

Median $222500 from 327 postings across 57 companies.

See salary data

What you'll do

  • Develop and drive a 6–12 month roadmap for knowledge-asset modeling, retrieval APIs, and RAG pipelines.
  • Lead the end-to-end delivery of platform capabilities from initial inception to final launch.
  • Define processes for ingesting, versioning, and deprecating curated definitions to ensure knowledge freshness.
  • Establish trust signals for the knowledge layer, including lineage, quality, and agent readiness scores.
  • Design human-in-the-loop workflows to trigger manual reviews and propagate corrections to downstream consumers.
  • Write detailed engineering PRDs that translate complex requirements into prioritized features and performance measures.
  • Build quick, testable prototypes using vibe-coding to de-risk technical build choices before engineering dedication.

What we're looking for

  • 7+ years of product management experience.
  • 2+ years of experience owning a data platform, data infrastructure, 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 that translate complex technical systems into clear user problems and measurable success metrics.
  • Ability to design and build quick prototypes through vibe-coding (Claude Code preferred).
  • Proven ability to drive cross-functional delivery across engineering and program through influence.
  • Systems thinking and business judgment to reason about the platform as a causal chain.

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