Staff Product Manager, AI Security, Data Access Governance and DLP
Role summary
Dropbox is seeking a Staff Product Manager to lead the expansion of its AI-powered security offerings, focusing on data access governance and data loss prevention (DLP). This role involves defining strategy, shaping the roadmap, and scaling a new security business, particularly for SMB and mid-market companies. The ideal candidate will have over 10 years of product management experience, with at least 3 years in AI Security, Access Governance, DLP, DSPM, or SSPM. Key responsibilities include building next-generation security products, leading an AI-driven roadmap, identifying market opportunities, and delivering innovative customer experiences by collaborating with engineering, security, and go-to-market teams. Experience applying AI/ML to security challenges and a proven track record as a 0 to 1 builder are essential.
Role Description
Dropbox is expanding its capabilities in AI-powered security, content access governance, and data loss prevention (DLP) to help SMB and mid-market businesses secure and manage their content with enterprise-grade protection. Following our acquisition of Nira, we have taken the first steps to integrate its data access governance technology into Dropbox Dash. Now, we are focused on deepening this integration across the Dropbox portfolio and expanding our security offering in the broader data access governance, DLP and AI Security markets.
We are looking for a Staff Product Manager to lead this next phase — defining the strategy and key capabilities, shaping the roadmap, and scaling a new security business within Dropbox. This is a 0 → 1 opportunity to establish Dropbox as a leader in AI and Data security for SMBs and mid-market companies, bringing AI-driven access governance, insider risk protection, and compliance automation to businesses that need it most.
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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