Senior Product Manager, Data Platform - Knowledge & Retrieval

• Own the product roadmap — develop and drive a 6–12 month roadmap for knowledge-asset modeling, retrieval APIs, agent-integration interfaces, and embedding/RAG pipelines, prioritizing and re-prioritizing against shifting platform needs.
• 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.
• Prototype to think — use vibe-coding (Claude Code preferred) to stand up quick, testable prototypes that reduce risk in build choices ahead of engineering dedication.

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $125,800 -- $239,725 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.



In California, the pay range for this position is $165,600 - $239,725


At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

Adobe's data platform is a vertical data intelligence stack: raw signals are governed and routed at ingestion, enriched and catalogued into curated enterprise definitions, and ultimately transformed into retrieval-ready, agent-optimized knowledge assets. The knowledge tier sits at the top of that stack. Curated definitions become trustworthy, retrieval-ready knowledge. AI agents, self-service analytics, and enterprise decision systems consume this knowledge every day.

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.

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Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

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