Senior Manager of Business Systems overseeing core enterprise systems at Nanit. Leading cross - functional teams to ensure scalable and efficient business operations.
About the role
- Business Process Improvement - AI Prompt Engineer optimizing supply chain operations at Airgas. Leveraging Large Language Models and AI tools to enhance operational efficiency in supply chains.
Responsibilities
- Design, test, and iteratively refine prompts across various AI platforms (mainly Gemini, NotebookLM)
- Develop AI workflows and prompts to rapidly extract key terms, pricing structures, compliance metrics, and potential risks from contracts.
- Continuously assess the evolving landscape of AI tools.
- Collaborate with product management, logistics, and planning teams to identify bottlenecks.
- Help integrate AI-driven solutions into daily workflows and core supply chain systems (ERP, WMS, TMS) to improve operational efficiency.
- Monitor AI outputs for accuracy, bias, and hallucinations.
- Act as the internal Subject Matter Expert (SME) for the Hardgoods Supply Chain division.
- Develop best-practice guides, prompt libraries tailored to buyers and planners, and lead training sessions to upskill staff on AI literacy.
Requirements
- Degree in Supply Chain Management, Logistics, Computer Science, Data Analytics, or a related field
- Bachelor's degree in any business related field
- 2-4 years of progressive experience in Supply Chain Management, Purchasing, IT or Economics
- Proven, hands-on experience working extensively with Large Language Models (LLMs) and generative AI tools in a professional or advanced project setting.
- Supply Chain Acumen: Solid understanding of core supply chain principles
- Outstanding written communication skills with a strong grasp of language, syntax, and logical flow.
- Ability to deconstruct a broad operational problem into systematic steps that an AI can process and resolve.
- Deep understanding of how LLMs function
- A continuous learner who stays ahead of the rapid changes in AI technology and model updates.
- Experience working with major Supply Chain systems and data structures (e.g., SAP, Oracle, Blue Yonder, Manhattan).
- Basic understanding of API integrations, Python, or standard automation tools.
- Experience building custom GPTs, specialized AI agents, or internal AI assistants for operational use
- Knowledge of data privacy and AI ethics/compliance within a corporate environment.
Benefits
- medical, dental, and vision plans
- short-term and long-term disability
- life and accidental death and dismemberment (AD&D) insurance
- Employee Assistance Program (EAP)
- pre-tax commuter transportation benefit
- parental leave
- vacation
- sick time
- floating holidays
- jury duty and funeral/bereavement leave
- paid holidays for all eligible full-time employees
- 401k plan with company matching funds
- tuition reimbursement
- discounted college tuition for eligible employees’ dependents
- Airgas Scholarship Program for dependent children
Job title
Job type
Experience level
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Degree requirement
Tech skills
Location requirements
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