Senior AI Product Builder (Inventory Optimization)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior AI Product Builder (Inventory Optimization): Building and optimizing decision systems for inventory placement and replenishment within a global fulfillment network with an accent on AI-native development and end-to-end product ownership. Focus on bridging the gap between product specifications and production code using AI toolchains to ship high-leverage logistics solutions.
Location: Remote in specific US 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)
Salary: $151,080 - $251,800
Company
is a leading global supply chain and fulfillment technology platform designed for SMB and Mid-Market ecommerce merchants.
What you will do
- Own the full product loop from AI-augmented discovery and specs to production PRs and outcome measurement.
- Develop forecasting, placement, and replenishment decision systems for the fulfillment network.
- Conduct customer discovery and synthesize research across tickets, interviews, and behavioral data using AI tools.
- Analyze product metrics, define success thresholds, and maintain a prioritized roadmap based on impact and speed.
- Review AI-generated code, evaluate architectural fit, and participate in build-vs-buy decision processes.
Requirements
- 5+ years of product management or product engineering experience.
- Must be based in one of the specified US states.
- Demonstrated professional experience using AI toolchains to generate working code and production-ready PRs.
- Technical fluency in reading data models, evaluating API contracts, and identifying architectural deviations.
- Experience in supply chain, fulfillment, logistics, or e-commerce technology.
- Excellent written communication skills for creating precise technical specifications for AI tools.
Nice to have
- Hands-on experience with AI tools such as Claude Code, Driver.ai, Cursor, Replit, or V0.
- Working knowledge of Python, SQL, or TypeScript for debugging and data interrogation.
- Expertise in inventory planning, demand forecasting, or multi-node distribution optimization at scale.
- Experience transitioning teams from traditional SDLC to an AI-native operating model.
Culture & Benefits
- Comprehensive health benefits including medical, dental, and vision insurance.
- 401K match and paid maternity/parental leave program.
- Flexible time off, paid sick leave, and quarterly wellness days.
- Access to best-in-class AI and productivity tools provided to all employees from day one.
- High-performance culture emphasizing ownership, transparency, and results-driven goals.
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