About Wildcard
Wildcard is the agentic commerce optimization platform for ecommerce and retail brands.
We help brands understand, improve, and monetize how their products show up across AI shopping agents. We’re building the mission control for agentic commerce: visibility (AEO & GEO), recommendations, execution, attribution, and automation in one platform.
As shopping shifts from traditional search to AI agents, brands need to know where they appear, why competitors are winning, what to change, and whether those changes drive real business outcomes.
We’re growing 50% month over month.
Who you’ll work with
You’ll work directly with me, Kaushik Mahorker, founder of Wildcard.
Previously at Scale AI, I built the ecommerce enrichment engine behind the company’s largest pilot across 400K SKUs, 2.8M attributes, and hundreds of taxonomies, helping secure $15M+ in contracts with major retailers and marketplaces.
That experience made something clear: shopping discovery is being rebuilt for an AI-first world, and most brands are not prepared for the shift.
Why join
You’ll work on problems that sit between modeling, product, and data infrastructure.
The work is fast-paced, practical, and tied directly to company priorities. You will not spend months optimizing one narrow model in isolation.
This is a rare applied ML role where the work goes from messy data to production product to customer impact quickly. You’ll help decide what gets built, ship it end to end, and see whether it actually changes business outcomes.
You’ll be able to point to the models, systems, and product decisions you made as part of the reason why we win.