Lead the strategy and architecture for Dropbox's enterprise knowledge layer, making content AI-ready through standards, metadata, and governance. Define how AI systems access, trust, and act on enterprise knowledge while partnering across Engineering, IT, Legal, and Security.
7+ years designing enterprise information architecture at scale
2+ years applying information architecture to AI retrieval and grounding
Direct experience preparing content for AI consumption
Working fluency in RAG, grounding, semantic chunking, embeddings, and vector search
Hands-on experience with knowledge graphs, ontologies, or semantic models
Track record building federated operating models across functions
Evidence of metadata standards or authoring frameworks adopted at scale
Demonstrated ability to influence senior stakeholders across Engineering, IT, Legal, and Security
Define source-of-truth strategy for enterprise knowledge and AI eligibility
Define enterprise standards for AI-ready content across structure, metadata, and provenance
Design control model for AI actions including eligibility rules and escalation paths
Lead platform and connector strategy across the content stack
Build federated operating model for enterprise content stewardship
Define content quality in AI context and stand up retrieval evaluations
Co-own AI content eligibility and permissions modeling with Legal, Privacy, and Security
First role of its kind at Dropbox
Partner with IT, Engineering, Legal, Privacy, and Security
Decisions directly impact AI performance across the company
Role evolves as AI capabilities shift
Track technology shifts and revise standards accordingly
Domain experts stay accountable for content accuracy
168,000 – 304,750 USD
/ year
124,000 – 195,500 USD
/ year
135,482 – 227,700 USD
/ year
184,000 – 356,500 USD
/ year
170,000 – 190,000 USD
/ year