Jay Weiser

Advises venture capital firms on product market fit and technical viability for cybersecurity and risk quantification products. Leads early market discovery and shapes early concepts into commercially viable MVPs for AI validation and Web 3.0.

Designed product strategy and automated workflows that contributed to the Safe Security acquisition. Converted an enterprise platform into a tiered three-product portfolio and delivered automated FAIR risk quantification that reduced customer time to value from weeks to days.

Launched the first native SaaS AFIS platform for the biometric identity market and introduced low-touch fulfillment models for law enforcement agencies. Unified multiple product lines into a single SaaS platform to reduce engineering and deployment overhead.

Owned strategy for Forcepoint’s highest revenue product line, covering cloud and on-premises web and email security. Coordinated roadmaps across gateway hardware, appliance management, and endpoint products, supporting Global 500 and government customers.

Built machine learning-driven detection systems for an 18 billion message per day platform. Reduced platform abuse by 70% and lowered annual operating expenses by more than $250k through workflow automation.

Directed modernization of the Web Defense Service into a containerized multi-tenant SaaS architecture. Supported the MX Logic acquisition by McAfee through platform modernization and achieved double-digit annual revenue growth while maintaining more than 60% profit margins.

Earned a Bachelor of Science in Liberal Arts from Excelsior College.

Completed MBA coursework in Technology Management at the University of Phoenix.