Role OverviewWe are seeking a Product Copywriter with hands-on AI experience to own and scale product content creation across our catalog. This role will focus on writing and optimizing non-featured product listings while leveraging AI tools, keyword research platforms, and emerging agentic frameworks to ensure our content is structured, discoverable, and conversion-focused.
As we evolve our product data infrastructure including a potential transition from Rithum to a new platform this role will play a critical part in ensuring product copy is not only customer-facing but also machine-readable and optimized for AI agents and marketplace algorithms.
This position sits at the intersection of content, SEO, and automation, requiring both creative writing skills and technical fluency in AI-assisted workflows.
Key Responsibilities
Write and optimize product copy for non-featured items across ecommerce channels (Amazon, Shopify, marketplaces)
Conduct keyword research and integrate high-value search terms into listings using SEO and AI tools
Leverage AI platforms (e.g., LLMs, content generation tools) to scale copy production while maintaining quality and brand voice
Structure product content to be “agent-ready,” ensuring compatibility with AI-driven discovery and indexing systems
Continuously refresh and update product listings to improve performance, incorporating emerging best practices (e.g., periodic copy updates aligned with marketplace algorithms)
Collaborate with marketing, ecommerce, and data teams to align copy with campaign strategy and product positioning
Support potential platform transitions by adapting copy formats, attributes, and taxonomy requirements
Maintain consistency in tone, formatting, and metadata across large product catalogs
Analyze performance data (CTR, conversion rates, keyword rankings) to iterate and improve content
Must-Have Experience
Ability to follow our internal Style Guide, as well as apply multiple external Brand Guidelines across various partners and licensors
Flexibility to adapt to evolving marketplace trends and algorithm changes
Strong organizational skills, with the ability to manage and prioritize a high volume of product listings efficiently
Comfort working within a collaborative environment and the ability to apply feedback effectively
High attention to detail, particularly regarding product detail accuracy, grammar, syntax, and overall copy quality
3+ years of product copywriting experience in ecommerce, preferably with Amazon or multi-marketplace exposure
Proven experience using AI tools (e.g., ChatGPT, Jasper, or similar) to generate, refine, and scale content
Strong understanding of keyword research and SEO principles for product listings
Experience optimizing Amazon listings, including titles, bullets, descriptions, and backend keywords
Ability to balance automation with human editorial judgment to maintain quality and brand voice
Familiarity with structured product data and the importance of clean, consistent inputs for downstream systems
Experience working with product information management systems, listing tools, or flat file uploads
Nice-to-Have Experience
Experience with Rithum or similar ecommerce syndication/PIM platforms
Exposure to “agentic” or AI-readable content structuring (e.g., semantic tagging, schema awareness, or knowledge graph inputs)
Familiarity with Amazon’s A10 algorithm and listing optimization strategies tied to ranking performance
Experience implementing or testing content refresh cycles (e.g., updating listings every 3–6 months) and measuring impact
Knowledge of bulk content generation workflows and prompt engineering best practices
Basic data analysis skills (Excel, Google Sheets, or BI tools) to evaluate listing performance
Experience working with large catalogs (thousands of SKUs) and scaling content operations
Understanding of marketplace compliance requirements and content guidelines
What Success Looks Like
High-quality, optimized product listings produced at scale with AI support
Improved organic visibility and conversion rates across marketplaces
Clean, structured product data that supports both human shoppers and AI-driven discovery
A repeatable system for refreshing and optimizing product content over time
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