About

We are a large-scale books publisher with a deep historical/technical catalogue distributed through Amazon Seller Central using ONIX/API metadata. We are seeking a specialist in semantic clustering / taxonomy / knowledge-graph engineering to reorganize our catalogue into intent-based topical clusters that align with Amazon’s search graph. The goal is to increase organic visibility and category authority without paid advertising by restructuring metadata and browse-node placement at the corpus level. This role is about how Amazon understands the catalogue, not about marketing copy or keyword stuffing. You will architect clustering logic, surface the first 30–50 high-impact topical domains, map them to winnable Amazon browse nodes, and define metadata controls that allow us to systematically scale the approach across thousands of titles. IMPORTANT: Please begin your reply with the word “CLUSTER” so we know you read the full description. Applications without this keyword will not be considered.