About the job
About the Role
Join Alt, a pioneering company transforming the alternative asset market, including the booming $5 billion trading card sector. Our platform enables collectors to buy, sell, store, and finance their cards seamlessly, supported by influential investors from Stripe, Coinbase, Seven Seven Six, and sports icons like Tom Brady and Giannis Antetokounmpo. We're on a mission to enhance real-time pricing capabilities across multiple asset classes—the Alt Value that drives every transaction, loan, and product on our platform.
We are seeking a highly skilled Senior Product Manager to take charge of Alt’s valuation engine (Alt Value)—the essential infrastructure for real-time collection pricing, cash advances, lending, and future asset classes. This pivotal role merges machine learning, pricing systems, financial modeling, and human-in-the-loop operations to evolve our valuation engine from its initial version to a premier, multi-asset solution.
Success in this role requires a strong grasp of ML modeling techniques (such as random forests and other tree-based models), feature engineering, accuracy metrics, pricing systems, and asset valuation dynamics. Knowledge of the trading card hobby or alternative assets is a significant plus.
This position is one of the most critical product roles at Alt.
Purpose of the Role
The valuation engine (Alt Value) is fundamental to our marketplace, facilitating real-time pricing, our cash advance product, and our lending model. We are looking for a candidate who can enhance model accuracy, broaden pricing coverage, expedite speed-to-value, and establish the ML foundation for expansion into new asset categories.
A hands-on PM is needed to manage the intersection of ML modeling, pricing, credit decisioning inputs, and human-in-the-loop operations, transforming this into a structured, high-velocity roadmap.
Your Responsibilities
- ML Pricing Engine (Alt Value)
- Extend Alt Value’s coverage into new categories and SKUs.
- Enhance valuation accuracy and consistency, particularly for high-end assets.
- Collaborate with data science to shape modeling strategies (e.g., random forest, ensemble methods).
- Define model inputs, features, constraints, and evaluation metrics.
- Create tools and dashboards for monitoring accuracy curves, drift, and model performance.
- Human-in-the-Loop Pricing (HITL)
- Redesign workflows to streamline pricing turnaround times.