Channel3

Compensation

Full Description

In 3 sentences Channel3 is building a database of every product on the internet. Our API lets any AI app or agent add shopping capabilities and earn commission on sales. We’re based in NYC, backed by Matrix, Ludlow, and Y Combinator; you should apply if you want to build the foundations for a brand-new kind of commerce. Our vision: from in-store, to online, to AI-native We believe AI commerce is as important as in-store and online channels; that’s where “Channel3” comes from. We see Channel3 becoming as foundational to AI commerce as Stripe is to payments or Plaid is to fintech. The team so far Alex and George have been friends since the first day of Duke. Alex began coding at 9, started his first company at 12, and most recently led AI projects at studio.com. George published research on automating astronomy with robots at 18, and worked on big-data problems at Palantir for the past 2 years. Why join us The time is right: AI is finally smart and inexpensive enough to make a universal product graph technically possible; AI apps and agents create immediate demand and a clear monetization path. We’re moving fast: We’re up and running, with 500+ developers building on our API, customers eagerly awaiting features, enterprises inbounding, and millions of products processed every day. You’ll have direct ownership of technical and infrastructure decisions, roadmap, and prioritization. You’ll help us grow the team and build our culture from the ground up. We’re backed by the best: We just closed a $6M seed round led by Matrix (Apple, FedEx, Afterpay) with participation from Ludlow (Honey, StockX), Y Combinator, and Paul Graham. What you’ll do Write code to understand 100M products. Develop multimodal pipelines that extract structured attributes from PDPs, resolve canonical products across merchants, and link variants like size and color. We stitch together the latest language, embedding, image, and segmentation models to build a true understanding of each and every product. Build world-class search. Developers should be able to find “outdoor grills from Weber, less than $1000, with 4 burners,” “running sneakers under 300g, size 12,” or “this couch [image] but in green.” Engineer for reliability and cost. Create evals to measure drift, and guardrails to prevent regressions and hallucinations. Be clever and scrappy to reduce costs everywhere we can. Setup and perks In‑person in Manhattan, five days a week Company laptop Health insurance Free dinner in the office Monday-Thursday Meaningful ownership. Early equity with real upside as we become the product layer for AI commerce.