Multi-brand footwear producer scaling social commerce and influencer marketing
Vida Shoes International manufactures and distributes footwear across multiple brands from its New York base. The tech stack reveals a dual operation: Shopify and Magento on the e-commerce side paired with Infor M3 and Infor Nexus (enterprise manufacturing and supply-chain platforms), plus heavy investment in demand-gen tools (SEMrush, Ahresis, Attentive, Klaviyo). Current hiring focuses on social and influencer strategy (notably a Social Influencer Director role) and finance leadership, suggesting a shift toward direct-to-consumer brand-building and margin management alongside traditional wholesale distribution.
Notable leadership hires: Social Influencer Director, Finance Director
Vida Shoes International has designed and manufactured branded footwear since 1973, leveraging international production and supply-chain resources to serve multiple product lines. The company operates across manufacturing, marketing, and sales, with e-commerce via Shopify and Magento alongside traditional retail and wholesale channels. Active challenges include coordinating overseas production, managing inventory exposure across brands, optimizing inbound logistics costs, and scaling brand awareness. The current hiring wave emphasizes influencer marketing and community engagement, reflecting a strategic focus on direct consumer engagement.
Vida Shoes operates on both Shopify and Magento, with Salesforce for CRM. The stack also includes Attentive and Klaviyo for email and SMS marketing automation.
Headquarters in New York, New York. Currently hiring in the United States; manufacturing and logistics span international partners.
Vida Shoes International'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.