About the RoleEvery AI agent needs to ground its answers somewhere - the customer chatbot, the internal copilot, the workflow bot acting on a company's behalf. That grounding is scattered today, across wikis, PDFs, and half-updated intranets. The CMS is becoming the most important piece of infrastructure in the agentic stack - the one system that already knows what's current, sanctioned, and who's allowed to see it. Enterprise agents are exploding: analysts expect 40% of enterprise apps to embed them by year's end, up from under 5%!
Join the
AEM Sites PM team and help turn Adobe Experience Manager - already the CMS of record for many of the world's largest brands - into that trusted context layer: the source both public AI assistants and internal enterprise agents ground on to answer, reason, and act on approved content only.
What You'll Do- Own product strategy and roadmap for AEM as the enterprise context layer, for external AI and internal agents alike
- Use AI tools like Claude Code as part of your real workflow - specs, data analysis, rapid prototyping
- Talk directly with enterprise customers building agents, and turn their challenges into roadmap
- Partner with design, engineering, and product marketing to shape vision, GTM, and pricing; train sales and support to sell it
What makes you a great fitSix-plus years building enterprise SaaS, at least two of them deep in platforms where data and AI are the product, not a feature bolted on. RAG, vector stores, and chunking strategy shouldn't need an introduction. Bonus points for startup time building enterprise agents or context-grounding infrastructure, where "the right answer, from the right source, with the right permissions" gets genuinely hard!
Preferred Experience- AEM or comparable enterprise CMS/content platforms (Contentful, Sitecore, or similar)
- Shipped RAG pipelines, vector search, semantic retrieval, or agent/copilot platforms
- Startup experience building enterprise agents or context-management tooling
- Familiarity with content governance, permissioning, and data security for AI grounding
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 $148,100 -- $282,100 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 $194,800 - $282,100
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.
