Senior Product Manager, Data Platform – Knowledge & Retrieval

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

Job summary

Adobe is seeking a Senior Product Manager for the knowledge layer of our data platform. You will own the roadmap and drive end-to-end delivery, balancing quality, value, and time-to-market across engineering teams.

You will define how knowledge is ingested, versioned, and kept current, while delivering trust signals for safe agent consumption. You will lead human-in-the-loop workflows and write precise PRDs, partnering with platform teams to ensure governance and reliability.

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 that translate complex technical systems into clear user problems, prioritized features, and measurable success metrics and guardrails.
• Rapid prototyping using vibe-coding (Claude Code preferred) to de-risk decisions before engineering investments.
• Systems thinking and business judgment to articulate platform-wide adoption and value.
• Cross-functional influence to drive delivery across engineering and program management by influence.

Responsibilities

• 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.
• Lead delivery from inception to launch — provide project leadership and day-to-day management spanning engineering and build, balancing quality, value, and time-to-market.
• Own knowledge freshness and lifecycle — define how curated definitions are ingested, versioned, deprecated, and kept current.
• Deliver trust signals for the knowledge layer—freshness, lineage, and quality for safe agent consumption and platform scoring.
• Build human-in-the-loop correction workflows at the knowledge layer — define triggers for human review and propagate corrections downstream.
• Write clear engineering PRDs — translate platform requirements into prioritized features, crisp specs, and concrete performance measures.
• Partner across the platform team — align with peer PMs on metadata, event telemetry, and governance for trusted foundations.
• Prototype to think — stand up quick, testable prototypes to reduce risk before engineering dedication.

Skills

Knowledge graph concepts

Embedding pipelines

RAG architectures

MCP servers

Agent skills

Data quality workflows

PRD writing

Rapid prototyping

Systems thinking

Cross-functional influence

Tools

Claude Code

Job description

The Opportunity

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.

What You’ll Own

• 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.

What You Require To Succeed

• Track record: 7+ years of product management experience, including 2+ years owning a data platform, data infrastructure, or enterprise data product end to end — not just contributing to one.
• AI knowledge-stack fluency: Working knowledge of knowledge-graph concepts, embedding pipelines, RAG architectures, MCP servers, and agent skills, plus a working understanding of how agents and models consume data and what makes an asset “agent-ready.”
• Quality workflows: Experience with human-in-the-loop quality and correction workflows in production data systems.
• Specification skill: Ability to write engineering PRDs that translate complex technical systems into clear user problems, prioritized features, and measurable success metrics and guardrails.
• Rapid prototyping: Ability to design and build quick prototypes through vibe-coding (Claude Code preferred) to de-risk decisions before engineering invests.
• Systems thinking and business judgment: able to reason about the platform as a causal chain rather than independent features, and to articulate how a decision drives adoption, retention, and downstream platform value.
• Cross-functional influence: Proven ability to drive cross-functional delivery across engineering and program through influence rather than authority, with comfort operating at ambiguous (roadmap) and precise (specification) altitudes simultaneously.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

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.

Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [e-mail] or call [phone].

AI Use Guidelines for Interviews

Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range

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

California: Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Colorado: Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts: Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.