Mystery-pack collectibles marketplace with vaulting, buyback and resale
Courtyard sells digital mystery packs of physical collectibles such as trading cards, comics, watches and coins, backed by vaulted inventory and a resale marketplace. A paid-mobile acquisition stack (AppLovin, AppsFlyer, Apple Search Ads, Google Ads) sits alongside a GCP data stack of BigQuery, dbt, Pub/Sub and scikit-learn. The data- and ops-weighted, staff-heavy hiring mix points to investment in pricing, forecasting and inventory analytics.
Notable leadership hires: Head of Creative
Courtyard is a privately held, San Francisco-based company with 51–200 employees, operating a consumer shopping experience built around opening mystery packs of collectibles. Items span Pokémon and sports cards, comics, watches and rare coins, stored in a vault and shippable on demand. Buyers can sell items back through a guaranteed buyback or list them on an in-app marketplace. The product runs on Next.js and React Native with Go, Python and PostgreSQL on GCP and AWS. The company operates remote-first and hires in the United States.
Courtyard uses Go, Python, TypeScript, Next.js, React Native, PostgreSQL and Redis on GCP (Cloud Run, Pub/Sub, BigQuery) and AWS, with dbt, Looker, Terraform and scikit-learn.
Yes. Data and operations lead Courtyard's current hiring, skewed toward staff-level talent, alongside engineering, design, finance, marketing, product and a Head of Creative role.
Courtyard is building a content studio and creative testing engine, developing forecasting models, evolving pricing by asset category, running category expansion pilots and refining liquidation strategy.
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Courtyard's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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