Senior AI Product Builder (Inventory Experience)

Join ShipBob, a leading e-commerce fulfillment company, as a Senior AI Product Builder. In this role, you will own the full product loop for the Product and Inventory Experience domain, utilizing AI tools to drive discovery, prototyping, and production. You will collaborate with peers and leaders, experience a high-performance culture, and have the opportunity for professional growth. This is a remote-first position with a flexible work environment and a comprehensive benefits package.

• Own the full product loop end-to-end, from AI-augmented discovery to production PR and outcome measurement.
• Manage the product catalog and inventory data surface, defining data contracts and shipping workflows.
• Run customer discovery, synthesize research, and use AI tools to analyze product metrics and identify usage patterns.

• Track record of shipping working prototypes or production code, not just Figma mocks or slide decks
• Proven ability to write story/specs that AI tools can act on directly — state machines, business rules, data contracts, edge cases — not narrative PRDs
• Excellent written communication: you write specs, not meeting notes
• Strong outcome ownership: sets success metrics and kill thresholds at spec time and tracks them after launch
• Experience working in supply chain, fulfillment, logistics, transportation, or e-commerce technology
• Technical fluency: can read a data model, evaluate an API contract, and identify when AI-generated code deviates from the target architecture
• Comfortable operating in a fail-fast culture. Being wrong fast is a feature here — staying slow to look right is the failure mode
• 5+ years of product management, product engineering, or equivalent experience, with demonstrated hands-on AI tool usage in a professional context
• Hands-on experience with the AI development toolchain (e.g., Claude Code, <Driver.ai>, Cursor, Replit, V0, Figma AI)
• Working knowledge of TypeScript, React, or Python — enough to debug AI-generated code and understand what the Engineer is reviewing
• Experience with product information management, catalog or inventory systems, multichannel commerce integrations (e.g., Shopify, Amazon), or WMS receiving flows at scale
• Prior experience transitioning a product team from traditional SDLC to an AI-native operating model