Dropbox Offices

Dropbox is headquartered in San Francisco and has 9 office locations.

Remote Workplace

Employees work remotely.

While remote work is the primary experience for our employees, we also prioritize opportunities for quarterly in-person collaboration knowing that connection is vital to a thriving workforce. We focus on how we work, not where we work.


U.S. Office Locations

HQ

San Francisco

Though remote is our primary way of working, meaningful in-person connection and collaboration is a critical part of Virtual First. Our San Francisco Studio is a place for teams to come together to host meetings, off-sites, and build community.

Austin

Austin, TX, United States

Boston

Boston, MA, United States

Chicago

Chicago, IL, United States

Colorado

CO, United States

Los Angeles

Los Angeles, CA, United States

New York

New York, NY, United States

Seattle

Though remote is our primary way of working, meaningful in-person connection and collaboration is a critical part of Virtual First. Our Seattle Studio is a place for teams to come together to host meetings, off-sites, and build community.

United States

Recently posted jobs

YesterdaySaved
Remote
United States
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Designs, deploys, and operates IAM controls across cloud and on-premises infrastructure. The role secures human, service, workload, and AI-agent identities through authentication, authorization, least privilege, lifecycle automation, policy guardrails, monitoring, and incident response. Responsibilities include implementing IAM integrations, access reviews, threat modeling, security automation, and reliable on-call operations while partnering with infrastructure, platform, and incident response teams.
YesterdaySaved
Remote
United States
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Design, deploy, and operate security controls for Dropbox’s AI and agentic infrastructure across cloud, Kubernetes, data stores, and on-premise systems. Secure authentication, authorization, networking, AI tools, and non-human workloads while addressing prompt injection, poisoning, supply-chain, and MCP risks. Lead security initiatives, harden infrastructure, automate policy and security operations, and collaborate cross-functionally to protect customer data. Participate in on-call rotations as required.
5 Days AgoSaved
Remote
United States
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Leads a multidisciplinary data science and data engineering team supporting Finance. Sets strategy, prioritizes initiatives, guides analytical models and data architecture, advances AI and machine learning applications, improves data quality and reliability, establishes scalable operating processes, and communicates technical recommendations to Finance and executive stakeholders. The role also manages talent, oversees forecasting and decision-support outcomes, and drives measurable business impact.