Brazilian e-commerce platform for personalized mobile accessories and lifestyle goods
Gocase operates a direct-to-consumer e-commerce business selling customized phone cases and accessories, shipping to 130+ countries from a production facility in Brazil. The tech stack is weighted toward frontend (Vue, Ruby on Rails) and marketing automation (HubSpot, Pipedrive, Google Ads, Meta Ads), with emerging infrastructure work: active projects include monolith decomposition into microservices and performance optimization for high-load systems, while hiring velocity is accelerating across marketing and operations. Pain points center on logistics cost reduction, hiring speed, and sales predictability—typical friction points for a scaling e-commerce operator managing both B2C volume and international expansion.
Notable leadership hires: Backoffice Lead, Sales Lead
Gocase is a Brazilian e-commerce startup founded in 2015, operating as the stated largest personalized mobile accessories retailer in Brazil. The business model revolves around direct-to-consumer sales of customizable phone cases and lifestyle goods, with reported reach across 130+ countries and a production and distribution center in Extrema, Minas Gerais. The company maintains offices in Brazil and the Netherlands. Current headcount is 201–500 employees, with active hiring concentrated in marketing, operations, and HR roles. The platform integrates Shopify infrastructure alongside custom Ruby on Rails services, supported by PostgreSQL, Kafka, and business-intelligence tools (Metabase, Power BI).
Frontend: Vue, HTML5, CSS, JavaScript. Backend: Ruby, Ruby on Rails, PostgreSQL, Sidekiq, Resque, Kafka. Commerce: Shopify CLI. Analytics: Metabase, Power BI. Marketing automation: HubSpot, Pipedrive, Google Ads, Meta Ads, Zapier, n8n.
Major projects include monolith decomposition into microservices, performance optimization for high-load systems, financial AI automation, personalized digital marketing solutions, and Google Ads performance campaigns. Internal efforts also target climate research, talent hunting, and process automation for analytical efficiency.
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