About the role
Role Description
As a Technical Architect at Dropbox, you will help enterprise customers translate business goals and complex technical requirements into practical solution architectures. You will work with customers and internal teams to design how Dropbox fits into their existing systems, validate critical assumptions, and guide implementation and adoption.
You will lead architecture discussions spanning workflows, integrations, identity and access, data movement, and operational readiness. You will explain design choices and tradeoffs, identify technical risks early, and produce clear guidance that implementation teams can act on. You will also turn lessons from customer engagements into reusable patterns and actionable feedback for Product and Engineering.
Responsibilities
- Lead technical discovery with customer business and IT stakeholders to establish requirements, constraints, dependencies, and measurable success criteria.
- Design and document solution architectures, including system boundaries, integration and data flows, identity and permission models, and operational requirements.
- Evaluate design options and explain tradeoffs in reliability, security, performance, implementation effort, and ongoing cost.
- Validate high-risk assumptions through focused prototypes, integration tests, or technical evaluations with explicit acceptance criteria.
- Guide implementation and migration planning, defining sequencing, owners, testing, cutover, rollback, and handoff to delivery and support teams.
- Partner with Customer Success, Support, Sales, Product, and Engineering to resolve technical blockers and connect architecture decisions to customer outcomes.
- Create reusable reference architectures, implementation guidance, and enablement materials; mentor colleagues and communicate recurring product gaps.
Requirements
- Customer-facing technical experience: At least 3 years in technical architecture, solutions architecture, implementation consulting, or a similar role, leading discovery, solution design, demonstrations, and technical validation for enterprise SaaS customers.
- AI experience: Experience using AI tools for technical analysis, solution design, or prototyping, including validating outputs, protecting customer data, and assessing limitations.
- Integration expertise: Experience designing and troubleshooting API integrations, authentication, data flows, and failure handling.
- Identity and access: Understanding of IAM and Zero Trust principles, including SSO, SAML, OAuth/OIDC, SCIM, MFA, RBAC, conditional access, and how permissions and sharing affect data exposure.