Senior AI Product Builder, Inventory Experience
New
J
JobgetherE-commerce, Supply Chain
The position is remote and available to candidates residing in 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, or WI.Full-TimeSenior
Salary$151,080–$251,800
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonProduct ManagementTypeScriptReactData modeling
Requirements
- 5+ years of experience in product management, product engineering, or an equivalent discipline.
- Demonstrated professional use of AI development tools.
- Ability to write highly actionable product specifications that AI tools can execute directly.
- Strong technical fluency to read data models, evaluate API contracts, and understand service boundaries.
- Proven track record of shipping functional prototypes or production code.
- Experience demonstrating outcome ownership by defining success metrics and kill thresholds.
- Background in supply chain, fulfillment, logistics, transportation, or e-commerce technology environments.
- Excellent written communication skills with the ability to produce precise specifications.
- Experience with product information management, catalog platforms, or warehouse receiving workflows at scale.
- Hands-on experience with AI development tools like Claude Code, Driver.ai, Cursor, Replit, V0, or Figma AI.
- Working knowledge of TypeScript, React, or Python.
Responsibilities
- Own the full product lifecycle from AI-augmented discovery and detailed specifications through prototyping, production pull requests, and post-launch outcome measurement.
- Own product catalog and inventory data surfaces, including SKUs, variants, bundles, lots, channel synchronization, receiving workflows, and data contracts.
- Conduct customer discovery independently and use AI tools to synthesize insights from tickets, interviews, and market trends.
- Analyze product metrics and usage patterns with AI-assisted tools to identify anomalies and define success metrics.
- Write precise story specifications covering business rules, state transitions, data contracts, and edge cases for AI tool execution.
- Prototype solutions and review AI-generated code for architectural correctness and quality.
- Participate in architecture reviews as the product decision-maker.
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