Direct-to-consumer travel brand scaling retail and product lines
Away sells travel luggage and lifestyle products through DTC and retail channels, now scaling from 7 stores toward 50 while expanding into apparel and wellness. The hiring mix skews heavily toward operations, design, and finance—not engineering—reflecting a retail-first business model focused on manufacturing quality, inventory accuracy, and financial automation. Projects center on supplier quality (corrective action plans, QC documentation), cash management automation, and fraud monitoring, indicating operational scaling challenges typical of CPG/retail moving beyond pure DTC.
Notable leadership hires: Design Lead, Design Director
Away is a travel and lifestyle brand founded in 2016, selling millions of luggage, apparel, and accessories units globally. The company operates 7 physical stores across the US and internationally, with plans to open 50 more within three years. Products ship to nearly 40 countries. Away serves direct-to-consumer customers through its website and physical retail locations, supported by a tech stack spanning Shopify (commerce), Salesforce (CRM), Zendesk (support), and Klaviyo (email). The organization is 201–500 employees and headquartered in New York.
Away uses Shopify and Shopify POS for commerce, Salesforce for CRM, Zendesk for customer support, Klaviyo for email marketing, Tableau and Looker for analytics, and Dynamics 365 for back-office operations. Development tools include Node.js, React, TypeScript, and Remix.
Away is headquartered in New York, NY. The company currently operates 7 physical stores across the US and one other country, with plans to open 50 additional stores in the next three years.
Away'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.