Enterprise Context Architect

Dropbox·Remote - US: Select locationsRemotelead

In short

→Arquitecto del contexto empresarial para IA en Dropbox, definiendo qué conocimiento puede usar la IA.
→Día a día: establecer estándares, arquitectura y modelos de control para que el conocimiento sea confiable, actual y seguro para humanos y sistemas de IA.
→Destacado: es el primer puesto de su tipo en Dropbox, con impacto directo en cómo funciona la IA en toda la empresa.

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What they ask for

✓Experiencia en arquitectura de datos o conocimiento empresarial en entornos complejos.
✓Capacidad para definir estrategias de fuentes de verdad y modelos de control para IA.
✓Conocimiento en gestión de metadatos, provisión, permisos y acceso a contenido.
✓Experiencia en trabajo colaborativo con equipos de ingeniería, seguridad, legal y privacidad.
✓Habilidades de liderazgo estratégico y toma de decisiones en entornos en evolución.
✓Capacidad para adaptar estándares ante cambios rápidos en tecnología de IA.

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Enterprise Knowledge ArchitectAI Context LayerSource-of-Truth StrategySemantic ModelsKnowledge GraphsMetadata ManagementProvenance TrackingAccess ControlFederated Operating ModelConnector Architecture

Who should you write to at Dropbox?

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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 owns 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 lead the central function, setting the strategy, architecture, standards, and operating model that make enterprise knowledge reliable, current, and permissions-aware for both human and AI use, while domain experts stay accountable for the accuracy of their content. AI capability changes quickly, and this role changes with it. What a model can interpret, how content needs to be structured for retrieval, and what a system can safely act on all shift as the technology moves. You will track those shifts, translate them into practical standards, and revise your own past decisions when the ground moves under them. 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 domains. • Design the control model for AI actions, including eligibility rules, preconditions, approval boundaries, escalation paths, and rollback requirements, so systems that act on enterprise knowledge stay traceable and safe as AI capabilities evolve. • Lead platform and connector strategy across the content stack. Drive decisions on what is refactored, migrated, indexed in place, or consolidated, and partner with IT and Engineering on connector architecture and how AI systems are granted access to tools and sources. • Build the federated operating model

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