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

Location: Atlanta, Georgia, United States; travel to customer locations may be required. Candidates must be authorized to work in the United States without current or future company sponsorship.

Company

C3 AI develops enterprise AI application software, including an AI platform and industry-specific SaaS applications for digital transformation.

What you will do

• Own solution strategy, technical direction, delivery outcomes, and customer accountability from problem definition through production deployment and scale.
• 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, service levels, and working capital.
• Translate operational challenges into AI, machine learning, optimization, and software solutions with defined constraints, requirements, success criteria, and business value.
• Lead Forward Deployed Engineers, data scientists, product managers, engineers, and industry experts through architecture, configuration, validation, deployment, adoption, and scale-out.
• Develop reusable supply chain methodologies and partner with product and engineering teams to scale successful solutions across plants, products, networks, geographies, 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 direct exposure to scrap charge, EAF, ladle metallurgy, caster, and rolling operations.
• Experience owning or improving melt-shop throughput, yield, quality, energy, downtime, or rolling constraints.
• Experience leading complex, customer-facing technical engagements and working with operational, technical, commercial, and executive stakeholders.
• U.S. work authorization without current or future company sponsorship.

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 with SAP, Oracle, Kinaxis, Blue Yonder, o9, or similar enterprise supply chain platforms.
• Experience scaling solutions across multiple plants, product families, regions, networks, or business units.
• Advanced degree in engineering, operations research, supply chain, analytics, or a related quantitative discipline.

Culture & Benefits

• Full-time employment within a forward-deployed engineering organization.
• Competitive compensation package and generous equity plan.
• Benefits package provided.
• Equal opportunity and affirmative action employer.