Product Manager Equilend
Led product definition for a Model Context Protocol integration that exposes post-trade data products to AI agents and assistants. Partnered with engineering to define accessible data and workflows while accounting for product, system, and regulatory constraints.
Identified a gap in manual disclosure tracking and built, launched, and scaled an automated reporting product serving more than 40 institutional clients. Owned roadmap, MVP scope, go-to-market strategy, PRDs, technical specifications, telemetry, sprint priorities, and cross-functional delivery across a $1.7M client portfolio.
Improved onboarding and adoption through streamlined workflows and webinars attended by more than 300 people. Increased adoption by 90%, reduced support hours by 30%, and raised client satisfaction by 25%; used AI-assisted wireframes and prototypes to reduce design-to-approval time by 30% and time-to-MVP by 25%.