Senior AI Product Builder
$151,080–$251,800 year
RemoteCalifornia, United States or Arizona, United States
Job Summary
Own the full product loop end-to-end for Order Management, driving AI-augmented discovery, story/specs, prototypes, and production PRs with minimum engineering rework. Define the agent surface for ShipBob's MCP server and merchant-facing chat capabilities, then synthesize research and competitive signals to set success metrics and kill thresholds at spec time. Route changes through prototype-then-PR, evaluate AI-generated code against the actual repo, and participate in architecture reviews to make build-vs-buy-vs-defer calls. Ship your first PR within 60 days and make day-7 rollout/kill decisions on AI-surfaced data, while demoing throwaway prototypes to the pod to prove the loop.
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
- Solid 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
- Location: Remote in these 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
Desired Qualifications
- 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 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
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