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Senior Product Manager, Data Security
Not specifiedFull-timeProduct ManagementCybersecurity
Own the vision, roadmap, and delivery of enterprise data security and governance capabilities, helping organizations discover, understand, govern, and protect sensitive data.
Responsibilities
- Set product vision, strategy, and roadmap based on customer needs, market opportunities, and business goals.
- Lead discovery with enterprise customers and security and governance teams.
- Drive sensitive-data discovery and classification, exposure management, access governance, risk prioritization, and remediation capabilities.
- Translate technical and policy requirements into product workflows, requirements, and development priorities.
- Partner with engineering, research, and design throughout the product lifecycle, balancing value, usability, accuracy, scale, and performance.
- Work with sales, marketing, and customer success to launch capabilities, communicate their value, and drive adoption.
- Define success measures and use customer feedback and product insights to improve outcomes.
- Contribute to broader data security strategy as enterprise environments and AI use cases evolve.
Requirements
- At least 3 years of product management experience building B2B enterprise software, including substantial experience in data security, DSPM, or security-focused data governance.
- Track record of delivering products in this domain, with examples of owned capabilities, adoption, and impact.
- Understanding of sensitive-data discovery and classification, data exposure, permissions, access controls, and security or governance policies.
- Technical fluency in cloud and enterprise data environments, including architecture, integrations, and technical tradeoffs.
- Strong customer discovery skills and ability to turn complex needs into clear product direction.
- Experience owning a product area from strategy through launch and iteration.
- Clear communication and ability to align teams, influence decisions, and explain complex ideas.
Nice to have
- Experience with data lineage, catalogs, retention, residency, or compliance workflows.
- Familiarity with DLP, database security, identity and permissions, or automated remediation.
- Experience with products spanning cloud, SaaS, and on-premises environments, or securing data used by AI applications.
- Experience working with enterprise security leaders, data owners, and governance teams.