B&H Photo Video operates a 1,000+ person omnichannel retail business anchored by a 50-year-old New York flagship store and e-commerce platform serving photo and video professionals. The tech stack spans analytics (Google Analytics, Adobe Analytics, Salesforce), creative tools (Adobe Creative Cloud, DaVinci Resolve, Unreal Engine), and operational systems (Jira, ServiceNow, Asana, Medallia) — a profile of a mature retail organization managing inventory, customer feedback, and cross-functional coordination. Active hiring across engineering, marketing, and support signals investment in platform modernization, while projects around full-stack migration and application integration suggest infrastructure replatforming alongside customer experience improvements.
B&H Photo Video is a privately held retailer established in 1973, headquartered in New York and operating a physical flagship store alongside an e-commerce business. The company serves photo, video, pro audio, and digital imaging customers globally — ranging from enthusiasts to professionals and government/educational institutions. B&H maintains a curated inventory exceeding 300,000 items and differentiates on customer service, sales expertise, and fulfillment speed. The organization employs 1,001–5,000 people across retail, e-commerce, supply chain, and corporate functions.
JavaScript, Node.js, React, Salesforce, Google Analytics, Adobe Analytics, ServiceNow, Jira, Asana, and Adobe Creative Cloud (Premiere Pro, DaVinci Resolve, Photoshop, After Effects). Also uses Python, Pandas, MicroStrategy for analytics and reporting.
New York, NY. The company operates a physical flagship Super Store in Manhattan alongside its e-commerce business.
B&H Photo Video'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.