Industry Solution Leader - Heavy Industrial (EAF / Mini-Mill Supply Chain and Asset Performance)

Location: New York, New York, United States. Travel to customer locations may be required. Must be authorized to work in the United States without current or future company sponsorship.

Base salary: $130,000–$203,000 USD annually, plus benefits and equity.

Company

C3 AI develops enterprise artificial intelligence software, including an AI platform, industry-specific SaaS applications, and generative AI solutions.

What you will do

• Own solution strategy, technical direction, delivery outcomes, and production scale for customer engagements.
• Lead customer discovery across supply chain, manufacturing, procurement, logistics, finance, technology, and executive functions.
• Identify and quantify opportunities in planning, inventory, production, scheduling, pricing, procurement, logistics, fulfillment, and working capital.
• Translate operational challenges into AI, machine learning, optimization, and software solutions with defined constraints and success criteria.
• Lead Forward Deployed Engineers, data scientists, product managers, engineers, and industry experts through architecture, configuration, validation, deployment, and adoption.
• Develop reusable supply chain methodologies and partner with product and engineering teams to scale successful solutions across plants, products, networks, and business units.

Requirements

• Bachelor’s degree in engineering, operations research, supply chain management, industrial engineering, computer science, mathematics, economics, or a related quantitative discipline.
• 7+ years of experience in supply chain, manufacturing, operations, planning, logistics, procurement, pricing, operations research, or technically focused consulting.
• Hands-on EAF or mini-mill experience, including scrap charge, EAF, ladle metallurgy, caster, and rolling operations, with ownership of throughput, yield, quality, energy, downtime, or rolling constraints.
• Strong knowledge of supply chain planning, manufacturing operations, enterprise data, optimization, and complex quantitative problem-solving.
• Experience leading customer-facing technical engagements and working with operational, technical, commercial, and executive stakeholders.
• Ability to travel to customer locations as required and work with systems such as SAP, Oracle, Kinaxis, Blue Yonder, o9, or similar platforms.

Nice to have

• Experience delivering AI, machine learning, operations research, mathematical optimization, advanced analytics, or supply chain digital transformation solutions.
• Hands-on experience with SQL, Python, analytics, optimization tools, application configuration, or scripting.
• Experience deploying and scaling forecasting, inventory, pricing, production, scheduling, network optimization, or decision-support solutions.
• Advanced degree in engineering, operations research, supply chain, analytics, or a related quantitative discipline.

Culture & Benefits

• Employment position with a competitive compensation package.
• Benefits and a generous equity plan.
• Equal opportunity and affirmative action employment practices.