Principal Product Manager, AEM Sites

Every 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.

- 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

Six-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!

- 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

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