Role Description
Dropbox is building the knowledge layer that connects content, context, and action. As AI moves from assistants to systems that act, the structure and stewardship of enterprise knowledge becomes the difference between AI that helps and AI that fails.
This role defines the architecture and technical requirements for the context layer our AI depends on: what it can know, what it can trust, and what it is allowed to act on. You will shape the standards and approaches that make enterprise knowledge reliable, current, and permissions-aware, working across the enterprise on content and context architecture, retrieval and grounding, evaluation, semantic structure, permissions requirements, and prototyping, while domain experts remain accountable for the accuracy and stewardship of their content.
This is the first role of its kind at Dropbox. You will partner with IT, Engineering, Legal, Privacy, and Security, and your decisions will show up directly in how AI performs across the company.
Responsibilities
- Define the source-of-truth strategy for enterprise knowledge: which systems are authoritative, what is indexed centrally versus fetched live, what is eligible for AI use, and what is archived or excluded, informed by an assessment of the authoritative sources behind our highest-value workflows.
- Define the enterprise standards that make content AI-ready across structure, metadata, provenance, and access, including where semantic models or knowledge graphs are warranted and where they are not, and translate them into authoring patterns adopted across do