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Dropbox

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

Posted 12 Days Ago
Remote
Hiring Remotely in United States
230K-311K Annually
Senior level
Remote
Hiring Remotely in United States
230K-311K Annually
Senior level
Seeking a Staff Product Manager for AI Security and Data Governance at Dropbox, focusing on building and launching innovative security solutions for SMBs and mid-market businesses.
The summary above was generated by AI
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
  • 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
  • Hands-on Security Product Expertise – 7+ years of product management experience, including 3+ years building solutions in Access Governance, DLP, DSPM, SSPM, or AI Security.
  • Deep Domain Knowledge – Experience tackling data and IP protection challenges, especially in Access Management and DLP for Google Workspace, Microsoft OneDrive, Dropbox, Box, or similar SaaS platforms.
  • Customer-First Mindset – Passion for solving real customer pain points, with a track record of shipping security products that are powerful yet simple to use.
  • Proven 0 → 1 Builder – You’ve taken security products from idea to launch, driving adoption and impact in environments ranging from enterprise SaaS to fast-moving startups.
  • AI + Security Innovation – Experience applying AI/ML to security challenges—automating access controls, detecting risks, and strengthening data protection.
  • Cross-Functional Partner – Comfortable working side by side with engineering, security, GTM, and legal teams, blending technical know-how with product vision to ship great outcomes.
Preferred Qualifications
  • 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.
Compensation
US Zone 1
$229,500$310,500 USD
US Zone 2
$206,600$279,500 USD
US Zone 3
$183,600$248,400 USD

Top Skills

Access Governance
AI
Ai/Ml
Dlp
Gdpr)
Iso 27001
SaaS
Security Standards (Soc 2

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