Role Description
The Merchandising team is part of the Channel organization and plays a central role in bringing products to market and continuously improving their performance across Amazon and other marketplaces in the EU and US. We act as a bridge between Listing, Design, Product, Operations, and other cross-functional stakeholders, translating product and customer needs into strong marketplace experiences. Our work combines GTM execution, merchandising, performance analytics, marketplace SEO, UX/CX, experimentation, and AI-enabled optimization to improve discoverability, conversion, and the overall shopping journey.
What You Will Do
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Own GTM merchandising execution for new product launches across Amazon EU and US, from listing briefs through launch and post-launch optimization.
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Drive marketplace SEO, including keyword research, titles, bullets, attributes, backend terms, taxonomy, and search visibility.
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Create and QA briefs for listing content, imagery, A+ Content, video, and Brand Stores.
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Analyse traffic, CTR, conversion, search visibility, sales, and customer behaviour to identify opportunities and provide actionable insights.
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Conduct Walk the Store and UX/CX reviews to identify customer friction and improve the shopping journey.
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Develop and manage A/B tests and conversion optimization initiatives, measuring impact and scaling learnings.
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Drive ongoing listing, Brand Store, and subcategory optimization.
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Use AI and LLM tools for SEO, listing analysis, QA, research, insight generation, and workflow automation.
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Develop frameworks to improve AI readability and AI-ready marketplace content.
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Build and maintain merchandising standards, documentation, and optimization playbooks.
Qualifications
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3β5 years of experience in eCommerce merchandising, Amazon, or marketplace management.
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Good Amazon Seller Central experience, including GTM/product launches, listing optimization, A+ Content, and Brand Stores.
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Strong understanding of marketplace SEO, UX/CX, and conversion drivers.
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Analytical and comfortable turning performance data into actionable insights.
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Practical experience using AI/LLM tools for research, analysis, optimization, and workflow efficiency.
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Strong product understanding and ability to translate features into clear customer value.
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Strong Excel/Google Sheets skills and confidence working with dashboards and large datasets.
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Proactive, bold, detail-oriented, and comfortable challenging assumptions.
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Strong ownership, project management, and cross-functional collaboration skills.
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Fluent English.
Requirements
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Experience with Amazon and third party tools experimentation, A/B testing, or conversion optimization.
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Experience with marketplace tools such as Helium 10, Keepa, DataHawk, Jungle Scout, or similar.
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Experience working across multiple marketplaces regions, particularly EU and US.
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Experience with BI, dashboarding, automated reporting, or data visualization tools.
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Experience managing large catalogs, taxonomy, variations, or scalable listing optimization.
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Experience merchandising for both B2C and B2B customers.
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Additional European languages.
Benefits
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Encouragement for engineers to think like owners and define their own roadmaps.
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Use of programming languages and technologies that suit teams best.
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Remote-First operating model and culture with team members in over 15 countries and 30 US states.
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Collaboration spaces for team members to work physically together.