Omnichannel marketplace operator with fulfillment and logistics backbone
Spreetail buys and sells inventory across Amazon, Walmart, Target, and Home Depot, then ships it through a seven-facility network serving 80% of the US. The tech stack—Python, React, Django, SQL, Snowflake, dbt, Power BI—mirrors a company straddling operations and analytics: heavy data tooling (dbt, Snowflake) suggests they're scaling demand forecasting and inventory optimization, while CMMS and Maximo adoption signals maintenance automation across fulfillment centers. Active hiring in operations, engineering, and logistics (not sales-heavy) reflects a capital and process-intensive business scaling fulfillment capacity and reducing unplanned downtime.
Notable leadership hires: Pricing Director, Head of Finance
Spreetail is a marketplace operator and fulfillment service provider founded in 2006, headquartered in Lincoln, Nebraska. The company acquires branded inventory and lists it on major marketplaces, then fulfills orders through an internal network of seven distribution centers with next-day delivery capability across most of the US. Revenue comes from the margin spread between acquisition and marketplace sales, plus fulfillment fees. The operational footprint—1,001–5,000 employees across eight countries—reflects the complexity of managing inventory, logistics, and advertising spend simultaneously. Core functions include buyer/merchandiser teams, supply chain management, marketplace optimization (SEO, listing management), and customer service.
Python, React, Django, SQL, AWS (EKS, Lambda), Snowflake, dbt, Power BI, Datadog, Terraform. Also uses Helium 10 (marketplace analytics), Amazon Advertising, PayPal, and CMMS tools (Upkeep, Maximo) for facility maintenance.
Seven fulfillment centers serving 80% of the US population with next-day shipping. Active projects include facility readiness for expansion, new equipment deployments, and FC launch & network expansion.
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