Role Description
The Core Intelligence & Media team is driving one of Dropbox’s top priorities: integrating AI-powered capabilities directly into the File Sync & Share experience to transform Dropbox into an intelligent workspace for media creators and collaborators. We are building intelligent systems that enhance how users discover, organize, and interact with their content.
This is a unique opportunity to work on both 0→1 AI-powered features that shape Dropbox’s future and foundational backend systems that power reliable, performant media experiences at scale. You will operate in a fast-paced environment where we ship early, learn quickly, and iterate based on user signal—collaborating closely with Product, Design, ML, and platform teams across Dropbox.
Responsibilities
- Design and implement scalable backend systems that power intelligent, media-rich experiences within Dropbox
- Own complex, ambiguous technical problems and drive them from definition through delivery in partnership with Product and Design
- Serve as a technical DRI for high-impact initiatives within the team, shaping technical approach and execution plans
- Be a hands-on contributor who implements critical and foundational components while setting a high bar for code quality and maintainability
- Contribute to shared APIs and system abstractions that enable new product capabilities and operate reliably at large scale
- Influence technical decisions across collaborating teams, contributing to alignment while maintaining strong engineering standards in a virtual-first environment
Requirements
- BS, MS, or PhD in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent practical experience
- Minimum of 9 years of professional experience as a software engineer
- Experience working on consumer-facing product teams and owning delivery of user-facing features at scale
- Experience collaborating cross-functionally with Product, Design, and partner engineering teams
- Ability to work independently in ambiguous, fast-moving environments while making pragmatic technical tradeoffs
- Experience integrating AI or ML capabilities into production products and shipping to customers
- Demonstrated 0→1 experience building and launching new product features or systems
Preferred Qualifications
- Experience working with media systems (video, audio, large-scale file processing)
- Experience integrating ML/AI APIs (e.g., LLMs, semantic search, tagging systems, agentic workflows) into production systems
- Experience with experimentation frameworks (A/B testing, metrics-driven product iteration)
- Experience designing internal APIs or shared platform abstractions
- Experience leveraging modern AI tools to accelerate development workflows
Compensation
