Senior AI Product Builder, Inventory Optimization
$151,080–$251,800 year
RemoteCalifornia, United States or Arizona, United States
Job Summary
Own the full build loop for inventory optimization: drive AI-augmented discovery, write precise specs for state machines and data contracts, generate prototypes, and ship production PRs with minimal engineering rework. Define product contracts for demand forecasting and distribution recommendations, ship them into merchant workflows, and measure adoption and forecast accuracy. Run customer discovery by synthesizing research across tickets, interviews, and behavioral data; analyze metrics to surface anomalies and set explicit kill thresholds at spec time. Participate in architecture reviews to make build-vs-buy-vs-defer calls and route changes through prototype-then-PR. Make day-7 rollout or kill decisions based on AI-surfaced data and instrument metrics for real bets.
Required Qualifications
- 5+ years of product management, product engineering, or equivalent experience
- demonstrated hands-on AI tool usage in a professional context
- Demonstrated 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
- Sound 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: you write specs, not meeting notes
Desired Qualifications
- Hands-on experience with the AI development toolchain (e.g., Claude Code, Driver.ai, Cursor, Replit, V0, Figma AI)
- Working knowledge of Python, SQL, or TypeScript — enough to debug AI-generated code and interrogate the data behind a forecast
- Experience with inventory planning, demand forecasting, replenishment, or multi-node placement and distribution optimization at scale
- Prior experience transitioning a product team from traditional SDLC to an AI-native operating model
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.