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Fulfillment Manager

Job Description

Description

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

Requirements

  • 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

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