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Fulfillment Manager at Trafilea. Location Information: USA. About Trafilea. Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We’re building the AI Growth Engine that powers the next generation of consumer brands.. With over $1B+ in cumulative revenue, 12M+ customers, and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands.. We own and operate our own digitally native brands (not an agency), with presence in Walmart, Nordstrom, and Amazon, and a strong global D2C footprint.. Why Trafilea. We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.. 🚀 We build and scale our own brands.. 🦾 We invest in AI and automation like few others in eCom.. 📈 We test fast, grow fast, and help you do the same.. 🤝 Be part of a dynamic, diverse, and talented global team.. 🌍 100% Remote, USD competitive salary, paid time off, and more.. Job Responsibilities. As Fulfillment Manager, you’ll oversee end-to-end global logistics performance across our fulfillment ecosystem.. You will:. Lead strategic network expansion initiatives, including new warehouse launches and integrations. Build scalable omnichannel processes that improve efficiency, customer experience, and cost optimization. Drive automation, predictive models and AI-driven operational improvements. Build and strengthen strategic relationships with 3PL partners, carriers, and suppliers. Lead fulfillment scalability initiatives across D2C, Amazon, Wholesale, Subscription, and B2B channels. 10+ years of experience in 3PL, Fulfillment, Logistics, or Supply Chain operations. Proven experience managing inbound, outbound, returns, replenishment, and omnichannel operations at scale. Strong experience working with 3PLs, warehouse operations, and SLA performance management. Experience leading operational improvement, scalability, and cost-efficiency initiatives. Strong analytical and problem-solving skills with a data-driven mindset. Experience with AI and automation is a must. Intermediate or higher English proficiency