Job Highlights
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The Staff Product Manager for AI Security, Data Access Governance, and DLP at Dropbox will lead the development of innovative security products aimed at SMB and mid-market businesses. This role involves defining the product strategy, shaping the roadmap, and collaborating with cross-functional teams to deliver AI-driven security solutions.
Salary Range
$264k - $357k/year
Experience Level
Senior Level
Staff Product Manager - AI Security, Data Access Governance and DLP
Posted 2 weeks ago
Full-Time
Employment Type
Remote
Work Location
$263,500 - $356,500
per year
About This Role
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 S
taff 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.
E
xperience in building and scaling data ingestion systems and data platforms
Ex
perience 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
$263,500
—
$356,500 USD
US Zone 2
$237,200
—
$320,900 USD
US Zone 3
$210,800
—
$285,200 USD
Compensation
$263,500 - $356,500
Annual salary
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