Industry Solution Leader - Heavy Industrial (Complex Manufacturing / Shipbuilding)

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We need to parse the posting. The posting includes: - Intro about C3 AI (company description) maybe "About the role"? Actually "About the role" could be the description of the role. The posting includes a paragraph about the role: "C3 AI is seeking an Industry Solution Leader (ISL) for Heavy Industrial to lead the design and delivery of enterprise AI solutions for its clients with a specialization in Complex Manufacturing / Shipbuilding. Industry Solution Leaders combine deep industry and engineering expertise with end-to-end ownership of customer solutions. They are expected to understand a customer's operations deeply enough to challenge assumptions, identify and quantify the highest-value opportunities, define the right technical solution, and lead cross-functional teams through design, deployment, validation, and scale. The role combines the responsibilities of a senior domain expert and solution leader. Industry Solution Directors work directly with customer engineering, operations, maintenance, and executive teams while leading C3 AI Forward Deployed Engineers, data scientists, product teams, and other technical resources to deliver measurable business outcomes. The ideal candidate brings significant hands-on experience in engineering, manufacturing, operations, reliability, or maintenance and has the technical judgment, customer leadership, and delivery ownership required to lead complex enterprise AI solutions from problem definition through production. The ISL, Heavy Industrial - Complex Manufacturing / Shipbuilding should have hands-on experience in complex engineered manufacturing such as shipbuilding, heavy equipment, aerospace, or EPC environments, with direct exposure to fabrication, welding, assembly, and production sequencing, and ownership of schedule, material constraints, engineering changes, quality, or throughput." That's a description of the role; could be "About the role". Then "Responsibilities" list: bullet points after "Responsibilities". Then "Qualifications" list: bullet points after "Qualifications". Then "Preferred Qualifications" list: bullet points after "Preferred Qualifications". Then "Benefits" mention: "C3 AI provides excellent benefits, a competitive compensation package and generous equity plan." That's vague but mentions benefits. It says "excellent benefits" but not specifics. According to rule: never create Benefits section unless posting actually states them. It does state "excellent benefits" but not specifics. Might be considered real content? It says "excellent benefits, a competitive compensation package and generous equity plan." That's somewhat generic but still states benefits exist. However rule: "never emit a heading followed by filler/placeholder text (e.g. 'commensurate with experience', 'not specified', 'N/A', 'varies', 'TBD')". "excellent benefits" is not placeholder; it's a statement. So we could include Benefits section with that sentence. Pay: "California Base Pay Range $130,000—$203,000 USD". That's specific, so include Pay section. Schedule: Not mentioned. No schedule info. So omit Schedule. Skills: Could be derived from qualifications? But we have Qualifications and Preferred Qualifications sections. The instruction says use section headings for e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. They didn't list Requirements as separate but we have Qualifications. Could treat Qualifications as Requirements? But they have both Qualifications and Skills headings possible. We have qualifications and preferred qualifications; we could combine into Qualifications section (maybe include both required and preferred). Or we could split: Qualifications (required) and Preferred Qualifications as separate? But only one Qualifications heading allowed. We could put required qualifications under Qualifications, and preferred under Skills? Not ideal. Better to have Qualifications section containing both required and preferred, maybe with subheadings? But we cannot add extra headings beyond those allowed? The instruction: "use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." It gives examples but not exhaustive; we could use those headings. It says "include a section ONLY when the posting has real, specific content for it". So we can choose which headings to use. We have content for About the role, Responsibilities, Qualifications (required), Preferred Qualifications (maybe under Skills?), Benefits, Pay. We could map Preferred Qualifications to Skills section (skills). That seems reasonable: Skills could include preferred qualifications like experience with AI/ML, Python, etc. So we will have sections: About the role, Responsibilities, Qualifications, Skills, Benefits, Pay. We must not repeat job title as heading. Not include Job ID. We must preserve all substantive information; do not invent or summarize away detail. So we need to include all bullet points from Responsibilities, Qualifications, Preferred Qualifications. Also include the introductory paragraph about the role (About the role). Also include the benefits statement and pay range. We must remove boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. At end there is EEO statement: "C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status." That's boilerplate; remove. Also remove "Learn more at: C3 AI C3 AI" maybe? That's navigation? Probably remove. We need to output only HTML fragment, no /, no markdown fences. We'll structure:

About the role

... (the paragraph describing role)

Responsibilities

• ... each bullet
...

Qualifications

• ... required qualifications bullet points
...

Skills

• ... preferred qualifications bullet points
...

Benefits

C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.

Pay

California Base Pay Range $130,000—$203,000 USD

We must ensure we preserve all substantive information from responsibilities, qualifications, preferred qualifications. Let's extract responsibilities bullet points exactly as in text: From "Responsibilities" section: - Own the overall solution strategy, technical direction, and delivery outcomes for assigned customer engagements, maintaining accountability from initial problem definition through production deployment and scale. - Serve as the primary customer-facing solution leader and domain expert, developing a detailed understanding of 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 deep engineering and industry expertise to challenge assumptions, evaluate technical approaches, interpret analytical results, and ensure solutions are consistent with engineering fundamentals and operational realities. - Lead cross-functional teams of Forward Deployed Engineers, data scientists, product managers, engineers, and industry experts, establishing technical priorities and driving alignment around customer outcomes. - Work directly with customer engineers, operators, reliability teams, maintenance organizations, and executives to validate requirements, solution performance, operational workflows, and business impact. - Guide the interpretation and use of industrial data, including process signals, equipment attributes, operating states, maintenance history, production information, alarms, quality data, and other engineering information required to solve customer problems. - Maintain accountability for solution quality, business value, technical risks, delivery progress, customer adoption, and executive communication throughout the engagement. - Partner with C3 AI product management and engineering teams to identify reusable capabilities, inform product development, and scale successful solutions across assets, production lines, facilities, and business units. - Support sales teams during opportunity assessment and capture by helping define customer problems, solution approaches, business value, technical requirements, deployment strategy, and demonstrations. - Support development of statements of work and deployment plans, ensuring scope, deliverables, assumptions, data requirements, risks, timelines, and resource requirements are clearly defined. - Develop repeatable industry methodologies, solution patterns, and best practices and represent C3 AI in relevant customer, industry, and technical forums. Now Qualifications (required) bullet points: - Bachelor's degree in Engineering or a related technical discipline. Mechanical, Chemical, Electrical, Industrial, Mining, Metallurgical, Petroleum, Materials, or similar engineering backgrounds are preferred. - 7+ years of experience in engineering, manufacturing, operations, reliability, maintenance, industrial technology, or technically focused consulting. - Deep experience in one or more asset-intensive industries, including high-tech or semiconductor manufacturing, steel and metals, minerals and mining, utilities and power generation, oil and gas, chemicals, petrochemicals, LNG, pharmaceuticals, or heavy manufacturing. - Demonstrated experience 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 or production processes, process controls, maintenance practices, and operational workflows. - Experience working with industrial data including sensor and time-series data, equipment states, alarms, maintenance history, production data, laboratory or quality information, equipment hierarchies, and engineering data. - Experience with industrial systems such as process historians, SCADA, DCS, MES, EAM/CMMS, ERP, advanced process control, or industrial analytics platforms. - Demonstrated ability to reason from engineering fundamentals and determine whether analytical and AI-driven recommendations are physically, technically, and operationally credible. - Demonstrated experience leading complex, customer-facing technical engagements and working directly with engineering, operational, and executive stakeholders. - Strong analytical and problem-solving skills with the ability to structure ambiguous problems, establish priorities, and drive teams toward practical solutions. - Ability to work effectively with software engineers, data scientists, product managers, and customer technical teams and translate between domain, business, and technical requirements. - Excellent presentation, written communication, leadership, and interpersonal skills. - Ability to travel to customer locations as required. Now Preferred Qualifications bullet points: - Experience delivering AI, machine learning, advanced analytics, optimization, predictive maintenance, condition monitoring, process optimization, or industrial digital transformation solutions. - Hands-on technical experience working with industrial data, SQL, Python, analytics tools, application configuration, scripting, or similar technologies, with the ability to directly inspect data, prototype analyses, and troubleshoot solution behavior. - Experience with rotating equipment, electrical equipment, production equipment, manufacturing lines, process units, mining systems, utility assets, or other complex industrial systems. - Experience taking technical solutions from initial proof of value through production deployment and scale. - Experience scaling solutions across multiple assets, plants, facilities, or business units. - Advanced degree in Engineering, Science, or a related technical discipline. - Candidates must be authorized to work in the United States without the need for current or future company sponsorship. Note: The last bullet about work authorization is a requirement but appears under Preferred Qualifications? Actually it's after "Preferred Qualifications" but seems like a requirement. However we will keep it under Skills (preferred) as per mapping. Now About the role paragraph: We need to capture the introductory description before Responsibilities. Let's extract that paragraph exactly: "C3 AI is seeking an Industry Solution Leader (ISL) for Heavy Industrial to lead the design and delivery of enterprise AI solutions for its clients with a specialization in Complex Manufacturing / Shipbuilding. Industry Solution Leaders combine deep industry and engineering expertise with end-to-end ownership of customer solutions. They are expected to understand a customer's operations deeply enough to challenge assumptions, identify and quantify the highest-value opportunities, define the right technical solution, and lead cross-functional teams through design, deployment, validation, and scale. The role combines the responsibilities of a senior domain expert and solution leader. Industry Solution Directors work directly with customer engineering, operations, maintenance, and executive teams while leading C3 AI Forward Deployed Engineers, data scientists, product teams, and other technical