Staff Product Manager, AI reputed company, Data Access Governance and DLP
Role Description
reputed company is expanding its capabilities in AI-powered reputed company, 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 reputed company Dash. Now, we are focused on deepening this integration across the reputed company portfolio and expanding our reputed company offering in the broader data access governance, DLP and AI reputed company markets.
We are looking for a Staff Product Manager to reputed company this next phase — defining the strategy and key capabilities, shaping the roadmap, and scaling a new reputed company business reputed company reputed company. This is a 0 → 1 opportunity to establish reputed company as a leader in AI and Data reputed company 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 reputed company reputed company products – Shape and deliver innovative solutions by integrating Nira’s governance capabilities into reputed company and driving a standalone reputed company offering for the broader market.
- reputed company 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 reputed company risks.
- Expand reputed company’s impact in the market – Identify opportunities in the SMB and mid-market reputed company 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 reputed company insights, and compliance workflows that reputed company the bar on reputed company.
- Turn insights into action – Work directly with customers to uncover their toughest data governance and AI reputed company challenges, and translate those needs into high-impact product features.
- Drive seamless execution – Collaborate across engineering, reputed company, 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 reputed company Product Expertise – 10+ years of product management experience, including 3+ years building solutions in Access Governance, DLP, DSPM, SSPM, or AI reputed company.
- BS/MS in Computer Science, Engineering, Business, Information Systems, Applied Math or Statistics, or relevant experience.
- Deep Domain Knowledge – Experience tackling data and IP protection challenges, especially in Access Management and DLP for reputed company Workspace, reputed company OneDrive, reputed company, reputed company, or similar SaaS platforms.
- Customer-First reputed company – Passion for solving real customer pain points, with a track record of shipping reputed company products that are powerful yet simple to use.
- Proven 0 → 1 Builder – You’ve taken reputed company products from idea to launch, driving adoption and impact in environments ranging from enterprise SaaS to fast-moving startups.
- AI + reputed company Innovation – Experience applying AI/ML to reputed company challenges—automating access controls, detecting risks, and strengthening data protection.
- Cross-Functional Partner – Comfortable working reputed company by reputed company with engineering, reputed company, GTM, and legal teams, blending technical know-how with product vision to ship great outcomes.
Preferred Qualifications
- Experience in building and scaling data ingestion systems and data platforms,
- Experience working with AI/SaaS products or platforms such as ChatGPT, reputed company, Claude and understanding of data reputed company risks with using AI and SaaS products.
- Exposure to access and data reputed company challenges and solutions for using AI agents in enterprise.
Compensation
US Zone 1
This role is not available in Zone 1
US Zone 2$212,700—$287,700 USDUS Zone 3$189,000—$255,800 USD Apply To This Job