Senior AI Product Builder, Inventory Optimization
New
J
JobgetherSupply Chain Technology
United StatesFull-TimeSenior
Salary$151,080 - $251,800 annually
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLProduct ManagementTypeScriptData modelingPrototyping
Requirements
- 5+ years of experience in product management, product engineering, software development, or a comparable role.
- Demonstrated hands-on AI tool usage.
- Proven ability to create detailed product specifications for AI development tools, including workflows, business rules, edge cases, and technical requirements.
- Strong technical understanding, including the ability to read data models, evaluate API contracts, and assess AI-generated code quality.
- Experience shipping working prototypes or production software.
- Strong outcome ownership skills, including defining success metrics, setting thresholds, and measuring post-launch impact.
- Ability to operate effectively in a fast-paced, experimental environment with a strong bias toward action.
- Excellent written and verbal communication skills.
- Familiarity with AI development tools such as Claude Code, Cursor, Replit, V0, Figma AI, or similar platforms is preferred.
- Working knowledge of Python, SQL, TypeScript, or comparable technologies is a plus.
- Experience with inventory planning, demand forecasting, replenishment systems, or multi-node optimization is preferred.
Responsibilities
- Own the complete product lifecycle, including AI-assisted discovery, requirements definition, prototyping, production delivery, and performance measurement.
- Lead inventory optimization initiatives, including forecasting, inventory placement, replenishment decisions, and merchant-facing workflows.
- Conduct customer research and leverage AI tools to synthesize insights from user feedback, behavioral data, market trends, and competitive intelligence.
- Define product requirements, technical specifications, business rules, data contracts, and success metrics.
- Analyze product performance data to identify improvement opportunities and establish measurable goals.
- Partner with engineering teams during architecture discussions to evaluate build-versus-buy-versus-defer decisions.
- Develop AI-assisted prototypes and review generated code to ensure alignment with technical architecture and business objectives.
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