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Industry Solution Leader - Heavy Industrial (Integrated Steel Optimization and Asset Performance)

C3 AI· Forward Deployed Engineering
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New York, NY$130k - $203kfull-timePosted 4w ago

About the role

Industry Solution Leader (ISL) for Heavy Industrial to design and deliver enterprise AI solutions with a specialization in Integrated Steel Optimization and Asset Performance. Combines senior domain expertise with end-to-end solution ownership, leading cross-functional teams to deliver measurable business outcomes in heavy industrial settings, including integrated steel operations.

Responsibilities

  • Own the overall solution strategy, technical direction, and delivery outcomes for assigned customer engagements, from problem definition through production deployment and scale.
  • Serve as the primary customer-facing solution leader and domain expert, understanding customer operations, equipment, processes, constraints, and business objectives.
  • Identify and quantify high-impact business opportunities across equipment reliability, maintenance, production performance, process optimization, throughput, yield, quality, energy efficiency, and operating economics.
  • Translate complex engineering and operational challenges into tractable AI, machine learning, optimization, and software problems with clearly defined requirements, success criteria, and expected business value.
  • Lead engagements through use case definition, requirements gathering, solution architecture, application configuration, validation, production deployment, user adoption, and scale-out.
  • Apply engineering and industry expertise to challenge assumptions, evaluate technical approaches, interpret analytical results, and ensure solutions align with engineering fundamentals and operational realities.
  • Lead cross-functional teams of Forward Deployed Engineers, data scientists, product managers, engineers, and industry experts to drive alignment around customer outcomes.
  • Work with customer engineers, operators, reliability teams, maintenance organizations, and executives to validate requirements, solution performance, workflows, and business impact.
  • Guide interpretation and use of industrial data (process signals, equipment attributes, operating states, maintenance history, production information, alarms, quality data, etc.).
  • Maintain accountability for solution quality, business value, technical risks, delivery progress, customer adoption, and executive communication.
  • Collaborate with product management and engineering to identify reusable capabilities and scale solutions across assets and facilities.
  • Support sales during opportunity assessment and capture by defining problems, solution approaches, business value, requirements, deployment strategy, and demonstrations.
  • Develop statements of work and deployment plans with clearly defined scope, deliverables, data requirements, risks, timelines, and resources.
  • Develop repeatable industry methodologies, solution patterns, and best practices; represent C3 AI in customer, industry, and technical forums.

Qualifications

  • Bachelor's degree in Engineering or a related technical discipline (Mechanical, Chemical, Electrical, Industrial, Mining, Metallurgical, Petroleum, Materials or similar preferred).
  • 7+ years of experience in engineering, manufacturing, operations, reliability, maintenance, industrial technology, or technically focused consulting.
  • Deep experience in asset-intensive industries (e.g., steel/metals, minerals, oil and gas, chemicals, utilities, heavy manufacturing).
  • Proven track record solving complex operational problems and improving equipment reliability, production performance, throughput, yield, quality, maintenance effectiveness, energy efficiency, or operating economics.
  • Strong understanding of industrial equipment, manufacturing processes, process controls, maintenance practices, and operational workflows.
  • Experience working with industrial data (sensor/time-series data, equipment states, alarms, maintenance history, production data, quality data, hierarchies, engineering data).
  • Experience with industrial systems (process historians, SCADA, DCS, MES, EAM/CMMS, ERP, advanced process control, industrial analytics platforms).
  • Ability to reason from engineering fundamentals and ensure AI-driven recommendations are credible operationally.
  • Experience leading customer-facing technical engagements with engineering, operational, and executive stakeholders.
  • Strong analytical and problem-solving skills; ability to structure ambiguous problems and drive practical solutions.
  • Ability to collaborate with software engineers, data scientists, product managers, and customer technical teams; translate between domain, business, and technical requirements.
  • Excellent presentation, written communication, leadership, and interpersonal skills.
  • Ability to travel to customer locations as required.

Skills

Required:Engineering domain expertise in heavy industryProblem solving and analytical thinking

Benefits

  • C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.
Last updated Sep 24, 2026. Interested? Apply on the company site.

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