Job Url: https://www.remoterocketship.com/company/dropbox/jobs/backend-product-software-engineer-ai-features-united-states-remote Job Description: Dropbox Website LinkedIn All Job Openings Dropbox is a cloud-based service that provides tools for storing, sharing, and accessing files across devices. It offers features such as document sharing, video review, automatic backups, and AI-driven scheduling. Dropbox also provides solutions for different sectors like teams, sales, marketing, and education, and industries including construction, media, technology, and manufacturing. With a focus on security, Dropbox ensures files are encrypted and protected against tampering. It offers integrations with various productivity tools and is trusted by major companies for efficient file management and collaboration. Cross-platform file sync β€’ File sharing β€’ Online backup β€’ Cloud storage β€’ Collaboration 1001 - 5000 employees Founded 2007 🏒 Enterprise ⚑ Productivity Backend Product Software Engineer, AI Features 7 hours ago πŸ‡ΊπŸ‡Έ United States – Remote πŸ’΅ $157.8k - $240.1k / year ⏰ Full Time 🟑 Mid-level 🟠 Senior πŸ”™ Backend Engineer πŸ¦… H1B Visa Sponsor Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ Dropbox is evolving; embedding AI-powered Dash into File, Sync, and Share (FSS) used by millions. β€’ Work on AI-powered onboarding, smarter media organization, semantic search, generative AI. β€’ High-impact role: design, prototype, ship, iterate features; integrate AI platform with product surfaces. β€’ Collaborate with product and design to bring search, ask, summarize capabilities into Core. β€’ Participate in on-call rotations if team runs services with on-call. 🎯 Requirements β€’ 6+ years of software engineering or related industry experience, with at least 1–2 years building AI/ML-powered product experiences. β€’ BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience. β€’ You’ve built and shipped AI/ML-powered product features with real users. β€’ You have strong product instincts and thrive in ambiguous problem spaces. β€’ You can work across the stack and enjoy partnering closely with product, design, and AI platform teams.