Wildcard Y Combinator Startup Seeks Founding Applied ML Engineer for Agentic Commerce Platform
By
kaushikmahorker
2h ago· 5 min readen
Summary
This is a job posting for a Founding Applied ML Engineer position at Wildcard, a Y Combinator-backed startup building an agentic commerce optimization platform. The company helps ecommerce brands optimize how their products appear across AI shopping agents. The role is for the first engineering hire who will work directly with the founder, building ML models, ranking systems, attribution models, and automation loops. The ideal candidate has full-stack experience, applied ML expertise, and is comfortable with ambiguity and ownership. The company is growing 50% month-over-month and focuses on the shift from traditional search to AI-driven shopping discovery.
Source
Key quotes
· 5 pulledAs 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.
This is engineer number one. You are not joining an engineering team. You are helping build one.
We need a builder who can move between product, infrastructure, applied ML, data, and customer problems without waiting for someone else to define the lane.
This market is moving fast. AI shopping agents, agentic commerce protocols, and consumer behavior are all changing in real time. The ambiguity is the opportunity.
You'll be able to point to the models, systems, and product decisions you made as part of the reason why we win.
Founding Applied ML Engineer
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
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