
Director of Product Management β Agentic Data Security
Posted Sep 11

Posted Sep 11
This is a fully remote position, open to applicants in United States.
β’ Take full ownership of the Agentic Data Security product line from inception to completion, encompassing vision, strategy, roadmap, and P&L-level results.
β’ Establish data security protocols for AI agents, which include defining agent identity and attribution, conducting prompt and context inspections, implementing tool-call and MCP-boundary controls, and ensuring machine-speed enforcement.
β’ Leverage Cyberhaven's data lineage advantage to create agentic use cases across endpoint, browser, and cloud teams.
β’ Manage the design partner program and guide ADS through beta testing and general availability.
β’ Transform enterprise clients into referenceable production deployments, achieving significant revenue growth within a 6β9 month timeframe.
β’ Collaborate with Engineering and Design teams to maintain a rapid release schedule and make informed scope decisions.
β’ Work alongside Sales, Solutions Engineering, and Customer Experience teams on packaging, pricing, competitive positioning, and enablement strategies.
β’ Act as a representative for ADS in customer briefings, analyst discussions, partner meetings, and industry events.
β’ Report directly to the CPO and expand and lead a product management team as the product line grows.
β’ Over 10 years of experience in product management.
β’ More than 5 years of experience leading products in the security domain.
β’ Proven track record of successfully bringing new products from inception to substantial revenue generation.
β’ Deep expertise in data security (including DLP, DSPM, insider risk), AI/LLM security, or endpoint and browser security.
β’ A strong advantage is fluency in the deployment of AI agents within enterprises.
β’ Experience in delivering enterprise security products that are utilized by actual security teams.
β’ Familiarity with detection quality, false positive economics, policy authoring, and enforcement decisions.
β’ Strong technical instincts and a demonstrated ability to build trust with engineers.
β’ Exceptional communication and storytelling abilities.
β’ Candidates must be located in the US, with a preference for the San Francisco Bay Area.
β’ Equity participation.
β’ Bonus incentive plan.
β’ Option to opt-out of AI-assisted interview note-taking.
β’ Commitment to equal opportunity employment.
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