Wildcard, a YC W25 company, is hiring its first Founding Applied ML Engineer to build what they call the 'mission control for agentic commerce.' The platform helps ecommerce and retail brands optimize their presence across AI shopping agents, addressing the shift from traditional search to AI-powered discovery. They're growing 50% month over month.

Founder Kaushik Mahorker previously built Scale AI's ecommerce enrichment engine handling 400K SKUs, 2.8M attributes, and hundreds of taxonomies. That work secured $15M+ in contracts with major retailers and revealed that most brands aren't prepared for AI-first shopping discovery. The role sits at the intersection of modeling, product, and data infrastructure.

The engineer will build ML models for prompt classification, attribution systems linking AI visibility to revenue, and ranking systems for messy AI commerce outputs. Responsibilities span product engineering across the stack, from data pipelines to customer-facing features. The position demands applied ML judgment, not pure research or analytics focus.

This represents a rare early-stage opportunity to shape both product direction and company culture while working directly with customers on tangible business outcomes. The ideal candidate moves fluidly between modeling, implementation, and product decisions without waiting for predefined lanes.