Overview
As Product Manager at Assetworks AI, I drove the end-to-end product lifecycle from concept validation to MVP launch, ensuring alignment across founders, engineers, and users. The platform delivers AI-powered financial insights for investors and analysts across multiple asset classes.
The Challenge
Financial analysts and investors needed a comprehensive platform that could provide deep insights across multiple asset classes while remaining cost-efficient and scalable. The challenge was to build a product that balanced powerful AI-driven analytics with user-friendly interfaces and reliable performance.
My Approach
Product-Market Fit Research
Conducted extensive user interviews, surveys, and competitor analysis to understand investor and analyst workflows. This research shaped our feature prioritization and product roadmap.
Roadmap & Feature Prioritization
Defined and executed the product roadmap, prioritizing features like multi-asset class analysis, personalized insights, and shareable widgets based on user needs and business objectives.
AI Integration
Led integration of AI-driven technologies including Claude Code, Cursor, and Bright Data tool to deliver scalable, cost-efficient functionality with deep analytical capabilities.
Backend Architecture
Partnered with engineers to architect the backend engine and analytics layer, improving performance, reliability, and depth of financial insights delivered to users.
Analytics & Feedback Loops
Established comprehensive analytics and feedback loops to track user engagement, validate product adoption, and inform iterative feature development decisions.
Results & Impact
Key Features
- Multi-asset class analysis and insights
- Personalized financial insights based on user behavior
- Shareable widgets for collaboration
- AI-driven data processing and analysis
- Real-time analytics dashboard
- Comprehensive feedback and engagement tracking