Direct-to-consumer baby, kids and family apparel e-commerce brand
PatPat sells baby, kids and family matching apparel online, with a marketing stack spanning Klaviyo, Omnisend, Emarsys and Mailchimp alongside Shopify and Google Merchant Center. Hiring skews toward ops and product, including an Amazon Operations Lead, and projects center on Prime Day and Black Friday playbooks, a sign the company is pushing hard into marketplace channels. Pain points cluster on inventory turnover and category profitability.
Notable leadership hires: Quality Director, Amazon Operations Lead, Brand Marketing Lead
PatPat is a privately held e-commerce company founded in 2014 and headquartered in Mountain View, CA, with 201–500 employees. It sells baby and kids clothing, family matching outfits, women's fashion, accessories and home goods directly to consumers, largely through mobile commerce. The company sources directly from manufacturers and runs frequent new-style launches and limited-time deals. It hires across the United States and China, covering operations, product, marketing, finance and legal functions.
PatPat uses Shopify, AWS, NetSuite, SAP, Oracle and QuickBooks, plus Klaviyo, Omnisend, Emarsys and Mailchimp for email. Tableau, Power BI and Google Analytics 4 handle analytics, and Adobe Creative tools handle content.
PatPat hires in the United States and China. Its open roles focus mainly on operations and product, with leadership openings that include a Quality Director and an Amazon Operations Lead.
PatPat is building Prime Day and Black Friday promotion strategies, annual children's clothing product planning, a sales forecast model and a promotion data sync dashboard.
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PatPat'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.