HVLS ceiling fans, lighting and cooling for industrial and residential spaces
Big Ass Fans builds high-volume, low-speed fans and comfort products, sold through a Salesforce-centric go-to-market stack with MuleSoft integrations and now adopting Agentforce. Hiring skews heavily toward mid-level sales, and job posts point to Salesforce-to-ERP integration, partner communities and rep training, signaling a channel-driven sales motion layered on a mixed ERP estate (Epicor Kinetic, SAP, AS/400).
Big Ass Fans is a privately held manufacturer headquartered in Lexington, KY, founded in 1999 and employing 501–1,000 people. The company designs and sells large HVLS ceiling fans for industrial and commercial facilities, along with residential fans, lighting and evaporative coolers. Its products target employee comfort and energy efficiency in spaces such as factories and warehouses. Commerce runs on BigCommerce with headless content via Contentstack and Contentful, while operations span Epicor Kinetic, SAP, Blue Yonder and Ariba. Current hiring is concentrated in the United States.
Big Ass Fans uses Salesforce, Salesforce Marketing Cloud, MuleSoft, BigCommerce, Contentstack, Contentful, Epicor Kinetic, SAP, Blue Yonder, Ariba, AWS, Azure, AS/400, and React/Next.js with TypeScript.
Yes. Sales dominates current openings, mostly at mid-level, with smaller engineering, finance and product hiring, all in the United States. Overall hiring velocity is decelerating.
Yes, Big Ass Fans is adopting Agentforce, with job posts describing next-generation Salesforce solutions powered by Agentforce and Einstein alongside MuleSoft-based enterprise integrations.
Other companies in the same industry, closest in size
Big Ass Fans'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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.