Premium decorative and architectural lighting and ceiling fans brand
Visual Comfort & Co. sells designer-led lighting and fans through trade, retail and e-commerce channels, running Shopify, Adobe Commerce and Salesforce Commerce Cloud side by side. That multi-platform commerce layer sits atop a mixed ERP estate (SAP, JD Edwards, Dynamics 365), pointing to integration complexity. Hiring skews heavily toward senior sales roles, matching a push on specification adoption and regional growth.
Notable leadership hires: Sales Director, Purchasing Director
Visual Comfort & Co. is a Houston-based, privately held lighting company founded in 1987, with 1,001–5,000 employees. It offers decorative lighting, architectural lighting and ceiling fans developed with design partners, organized into Signature, Modern, Studio, Fan and Architectural collections. Its buyers include interior designers, architects, lighting designers, builders, contractors, retailers, e-tailers, distributors and consumers. The company also supports lighting control and automated shading design work, with tools such as Lutron, DIALux and AutoCAD in its stack.
Its stack includes Salesforce, Dynamics 365, SAP, JD Edwards EnterpriseOne, Power BI, Shopify, Adobe Commerce, Salesforce Commerce Cloud, AWS RDS, .NET, Azure AI and OpenAI, plus AutoCAD, DIALux and Lutron for lighting design.
Yes. Sales is the dominant hiring function, skewed toward senior hires and including a Sales Director role, with ops, support and finance hiring alongside. All hiring is in the United States.
Visual Comfort & Co. is headquartered in Houston, Texas, and was founded in 1987. It is privately held with 1,001–5,000 employees.
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Visual Comfort & Co.'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.