Jobs / United States / Dropbox INC
Enterprise Context Architect
Dropbox INC · 🇺🇸 Remote - US: Select locations · Remote
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 39 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 33 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Dropbox INC
The US Department of Labor certified 39 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 33 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Dropbox INC →
About the role
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 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 for enterprise content: stewardship across functions, domains accountable for their own accuracy within shared standards, and lifecycle policies covering review cadence, expiration, material-change triggers, and retirement, tied to business criticality. • Define content quality in an AI context. Stand up retrieval and grounding evaluations for priority use cases, extend measurement to workflow traces and policy conformance as systems begin to act, and route findings back into the content lifecycle. • Co-own the criteria for AI content eligibility, sensitivity classification, and permissions modeling with Legal, Privacy, and Security, including access boundaries for the tools AI systems can reach. Requirements • 7+ years designing how information is structured, governed, owned, and maintained at enterprise scale, including at least 2 years supporting AI-enabled knowledge or retrieval systems. • Direct experience preparing content for AI consumption, with working fluency in RAG, grounding, semantic chunking, embeddings, vector search, and citations. • Hands-on experience with knowledge graphs, ontologies, or semantic models for machine-readable content. • Practical experience evaluating retrieval and grounding quality, testing hypotheses, and building lightweight prototypes independently or with Engineering. • Track record building federated operating models across functions outside direct reporting lines, including metadata standards or authoring frameworks adopted at scale. • Demonstrated ability to influence senior stakeholders across Engineering, IT, Legal, Security, and business functions. • Soun