# Senior Product Manager, Data Platform - Knowledge & Retrieval at Adobe

- Company: Adobe
- What the company does: Adobe is changing the world through digital experiences. We help our customers create, deliver and optimize content and applications.
- Company website: https://www.adobe.com
- Type: Startups
- Level: Senior
- Location: San Jose
- Work setup: On-site
- Pay: $126K to $240K base salary per year (USD)
- Posted: 2026-09-18
- Apply by: 2026-11-02
- Apply: https://adobe.wd5.myworkdayjobs.com/en-US/external_experienced/job/San-Jose/Senior-Product-Manager--Data-Platform---Knowledge---Retrieval_R170844-1
- Page: https://www.1752.vc/careers/jobs/adobe-senior-product-manager-data-platform-knowledge-and-retrieval/

## About the role

As Senior Product Manager for this layer, you own its execution throughout the entire process. This includes how knowledge assets are modeled, published, maintained, and delivered to consuming agents via retrieval and integration interfaces. You'll turn a multi-quarter roadmap into shipped capabilities, working shoulder-to-shoulder with engineering, data science, and peer platform PMs. This is a builder's role at the sharp end of Adobe's agent-ready data strategy.

## What they're looking for

- Lead delivery from inception to launch — provide project leadership and day-to-day management spanning engineering and build, making thoughtful quality / customer-value / time-to-market tradeoffs and mitigating risk
- Own knowledge freshness and lifecycle — define how curated definitions are ingested, versioned, deprecated, and kept current, so consuming agents never retrieve stale or orphaned knowledge
- Deliver the trust signals for the knowledge layer —freshness, lineage, and quality—so knowledge assets can be safely consumed by agents, while contributing these signals to the platform-wide agent readiness score
- Build human-in-the-loop correction workflows at the knowledge layer — define what triggers human review of a knowledge asset, and how corrections propagate to downstream consumers
- Write clear engineering PRDs — translate platform requirements into prioritized features, crisp specifications, and concrete performance measures and safety thresholds
- Partner across the platform team — align with peer PMs owning metadata, event telemetry, and cross-cutting governance so retrieval and embedding surfaces are built on governed, trustworthy foundations