Staff Product Manager, AI Organization Workflows
Role summary
Dropbox is seeking a Staff Product Manager to lead AI-driven organization experiences within its core file storage and sharing product. This role involves defining product vision and roadmaps, leveraging AI/ML for intuitive content organization across various user spaces. The Product Manager will collaborate closely with Engineering, Design, Data Science, and Research teams to ship innovative features, translate complex AI opportunities into actionable strategies, and deeply understand customer needs. Key responsibilities include ensuring scalable and privacy-respecting AI implementations, influencing AI direction across the company, and defining success metrics. The ideal candidate possesses strong technical fluency in AI/ML, exceptional strategic thinking, and a proven track record in launching complex AI-powered products.
Role Description
Dropbox is seeking a Staff Product Manager to lead strategy and execution for our next-generation AI led Organization experiences within our Core Product, the file storage and sharing experience (FSS). In this role, you’ll shape the future of how users interact with content and context across tools, using cutting-edge AI to power intuitive, intelligent organization across folders, libraries and living workspaces (called Stacks). You’ll drive vision, define product direction, and partner cross-functionally to deliver transformative features that help users work smarter—not harder.
This is a high-impact, high-visibility, cross-company role that requires a mix of deep customer empathy, strong technical fluency (especially with AI/ML systems), and the ability to navigate and influence across executive and IC audiences. If you're passionate about building AI-native product experiences that redefine productivity, we want to hear from you.
Responsibilities
Requirements
Preferred Qualifications
Compensation
US Zone 1
This role is not available in Zone 1
Sample Dropbox interview questions
- 1
Propose a system design for serving millions of app downloads concurrently explicitly covering your database architecture and indexing strategy.
system designmedium - 2
Explain the system design behind computing precise arrival times, factoring in historical traffic patterns and live telemetry data.
system designmedium - 3
Give me a system design for a massive live event where millions of viewers can watch and answer polls without lagging the stream.
system designmedium - 4
How would you address the issue of unstructured data in the data warehouse to improve report efficiency for clients?
system designmedium - 5
Architect a streaming data processing pipeline that can reliably process user viewing metrics in near real-time without losing data during spikes.
system designmedium
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