Senior AI Product Builder, Inventory Experience

Overview

Senior AI Product Builder owning the full build loop (discovery, specs, AI-augmented prototypes, production PRs) for Product and Inventory Experience (PIX), the system of record for the product catalog, inventory records, and receiving flows.

What you'll do

• Own the full product loop end-to-end: AI-augmented discovery, story/spec, prototype, production PR, and outcome measurement.
• Own the product catalog and inventory data surface end-to-end, including SKUs, variants, bundles, lots, and channel sync.
• Define the data contracts merchants and partners build against, ship the workflows, and measure data quality and adoption.
• Run customer discovery yourself and use AI tools to synthesize research across tickets, interviews, behavioral data, and competitive signals.
• Demonstrate deep functional and technical knowledge of owned products end-to-end; demo to merchants and partners yourself and understand the competitive landscape and key differentiators.
• Use AI tools to analyze product metrics, identify usage patterns, and surface anomalies; define success metrics and kill thresholds at spec time.
• Maintain a prioritized roadmap ranked by impact x speed, using AI tools to synthesize competitive intelligence, market trends, and customer insight.
• Evaluate whether a proposed solution fits ShipBob's architecture without Engineering translation, including service boundaries, data structures, and how merchant and partner API usage shapes data contracts.
• Route changes through prototype-then-PR; write clear story/specs and review AI-generated code before raising.
• Set experiment hypotheses with explicit kill thresholds and make day-7 rollout/kill decisions on AI-surfaced data.
• Participate in architecture reviews alongside Engineering as the product judgment seat, making the build-vs-buy-vs-defer call.
• Additional duties and responsibilities as necessary.

What you'll need

• 5+ years of product management, product engineering, or equivalent experience, with demonstrated hands-on AI tool usage in a professional context.
• Proven ability to write story/specs that AI tools can act on directly (state machines, business rules, data contracts, edge cases), not narrative PRDs.
• Technical fluency: can read a data model, evaluate an API contract, and identify when AI-generated code deviates from the target architecture.
• Track record of shipping working prototypes or production code, not just Figma mocks or slide decks.
• 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.
• Comfortable operating in a fail-fast culture.
• Excellent written communication: writes specs, not meeting notes.

Nice to have

• 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.

Details

• Location: Remote in listed states (AL, AZ, CA, CO, FL, GA, KS, KY, IA, ID, IL, IN, LA, MA, ME, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, RI, SC, TN, TX, UT, VA, VT, WA, WI).
• Reports to a Director, AI Product Builder.