Director of Product Management (Agentic Data Security)

Cyberhaven is building a data security platform for the agentic enterprise, protecting enterprise data as AI agents read, move, and act on it across browsers, endpoints, SaaS, and model providers. The Director of Product Management will own the Agentic Data Security product line end to end, including strategy, roadmap, positioning, customer programs, and business outcomes, while partnering across Engineering, Design, Sales, and Customer Experience.

Responsibilities:

• Own the ADS product line end to end ; vision, strategy, roadmap, and P&L-level outcomes for the product line
• Define what data security means when the actor is an agent, not a person: agent identity and attribution, prompt and context inspection, tool-call and MCP-boundary controls, and enforcement that holds up at machine speed without breaking legitimate work
• Translate Cyberhaven's data lineage advantage into agentic use cases, working across the endpoint, browser, and cloud teams to extend the platform
• Run the ongoing design partner program and take ADS through beta, and GA turning a charter cohort of enterprise customers into referenceable production deployments and significant revenue traction in the next 6-9 months
• Partner with Engineering and Design on a fast release cadence, making the hard scope calls that keep milestones credible
• Work directly with Sales, Solutions Engineering, and Customer Experience on packaging, pricing, competitive positioning, and enablement
• Be the external voice of ADS; customer briefings, analyst conversations, partner discussions, and industry events

Requirements:

• 10+ years in product management, including 5+ years leading products in security, with a track record of taking new products from zero to meaningful revenue
• Domain depth in one or more of: data security (DLP, DSPM, insider risk), AI/LLM security, or endpoint and browser security
• You've shipped enterprise security products that real security teams operate — you understand detection quality, false positive economics, policy authoring, and why enforcement decisions are hard
• Comfortable at both altitudes: you can hold an executive team strategy conversation in the morning and get into detection logic and API design with engineers in the afternoon
• Strong technical instincts. You don't need to write the code, but you need to earn the trust of people who do
• Excellent communicator and storyteller; you can make a novel category legible to a CISO, an analyst, and a first-time AE
• Located in the US (SF Bay Area preferred)
• Fluency in how AI agents are actually deployed in enterprises is a strong plus