Dropbox

Staff Product Manager, AI Security, Data Access Governance and DLP

Dropbox

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $183,600 - $279,500 per year

Job Level

Lead

About the role

  • Build next-generation security products – Shape and deliver innovative solutions by integrating Nira’s governance capabilities into Dropbox and driving a standalone security offering for the broader market.
  • Lead an AI-driven roadmap – Define and launch intelligent features that use AI and automation to streamline access control, enforce real-time DLP, and proactively detect security risks.
  • Expand Dropbox’s impact in the market – Identify opportunities in the SMB and mid-market security space, craft a clear product vision, and accelerate adoption with a differentiated value proposition.
  • Deliver breakthrough product experiences – Partner with engineering and design to launch automated access reviews, AI-powered security insights, and compliance workflows that raise the bar on security.
  • Turn insights into action – Work directly with customers to uncover their toughest data governance and AI security challenges, and translate those needs into high-impact product features.
  • Drive seamless execution – Collaborate across engineering, security, compliance, and go-to-market teams to launch products that meet global standards (SOC 2, ISO 27001, GDPR, etc.) and delight customers.

Requirements

  • 5+ years of product management experience, including 3+ years building solutions in Access Governance, DLP, DSPM, SSPM, or AI Security.
  • Experience tackling data and IP protection challenges, especially in Access Management and DLP for Google Workspace, Microsoft OneDrive, Dropbox, Box, or similar SaaS platforms.
  • Passion for solving real customer pain points, with a track record of shipping security products that are powerful yet simple to use.
  • You’ve taken security products from idea to launch, driving adoption and impact in environments ranging from enterprise SaaS to fast-moving startups.
  • Experience applying AI/ML to security challenges—automating access controls, detecting risks, and strengthening data protection.
  • Comfortable working side by side with engineering, security, GTM, and legal teams, blending technical know-how with product vision to ship great outcomes.
  • BS or MS in Computer Science, Electrical Engineering, Business, Applied Mathematics or Statistics, or relevant field. MBA is a plus.
  • Experience in building and scaling data ingestion systems and data platforms.
  • Experience working with AI/SaaS products or platforms such as Chatgpt, Gemini, Claude and understanding of data security risks with using AI and SaaS products.
  • Exposure to access and data security challenges and solutions for using AI agents in enterprise.