Senior AI Product Builder (FC Automation)

Join ShipBob, a leading fulfillment technology company, as a Senior AI Product Builder – FC Automation. In this role, you will own the full build loop for automation product and strategy, defining how ShipBob's WMS integrates with automation hardware to enhance productivity and quality across the fulfillment network. You will work in an AI-native pod alongside an AI Engineer, AI/Prompt Engineer, and Designer, and report to a Director, AI Product Builder. This is a remote-first position with a flexible work environment and a comprehensive benefits package. - Own the full build loop for Automation Product and Strategy, from discovery to production-ready PRs. - Set the automation strategy for your domain, evaluating automation hardware options and shipping the WMS integrations. - Conduct customer discovery and use AI tools to synthesize research, demonstrating deep functional and technical knowledge of owned products. - 5+ years of product management, product engineering, or equivalent experience, with demonstrated hands-on AI tool usage in a professional context - Demonstrated experience shaping automation product strategy in a fulfillment, warehouse, or manufacturing context — selecting automation hardware, integrating it with a WMS or shop floor system, and shipping measurable productivity and quality gains - Nice to have: - Proven ability to write story/specs that AI tools can act on directly — state machines, business rules, data contracts, edge cases — not narrative PRDs - Comfortable operating in a fail-fast culture. Being wrong fast is a feature here — staying slow to look right is the failure mode - Strong outcome ownership: sets success metrics and kill thresholds at spec time and tracks them after launch - Track record of shipping working prototypes or production code, not just Figma mocks or slide decks - Experience working in supply chain, fulfillment, logistics, transportation, or e-commerce technology - Excellent written communication: you write specs, not meeting notes - Technical fluency: can read a data model, evaluate an API contract, and identify when AI-generated code deviates from the target architecture - Hands-on experience with the AI development toolchain (e.g., Claude Code, , 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 warehouse management systems, order management, carrier integration, or fulfillment operations at scale - Prior experience transitioning a product team from traditional SDLC to an AI-native operating model - Working knowledge of warehouse automation hardware — person-to-goods, goods-to-person, AS/RS, robotics, sortation, conveyance, pick-to-light, palletization (robotic and semi-automated), computer vision (dimensioning, item recognition, quality inspection), and similar systems — and direct experience integrating automation hardware into a WMS to lift productivity and quality