Industry Solution Leader - Oil, Gas & Chemical (Refining / Chemical Asset Performance)

Overview

In this role you will own the end-to-end delivery of enterprise AI solutions for oil, gas, and chemical assets, with a focus on refining and asset performance. You'll partner with client engineers, operations, and executives, guiding cross-functional teams to turn complex industrial challenges into practical AI-enabled outcomes. You will shape solution strategy, oversee deployment from problem definition to scale, and drive measurable business value. This is an opportunity to lead transformational projects in asset-intensive industries using C3 AI's platform and practices.

Compensation / Benefits

• excellent benefits
• competitive compensation package
• generous equity plan

Responsibilities

• Own solution strategy, technical direction, and delivery outcomes for customer engagements from problem definition to production deployment and scale
• Serve as primary customer-facing solution leader and domain expert on operations, equipment, processes, and business objectives
• Identify and quantify high-impact opportunities across reliability, maintenance, production performance, process optimization, throughput, yield, and energy efficiency
• Translate engineering/operational challenges into AI/ML/optimization problems with clear requirements and value
• Lead engagements through use case definition, requirements gathering, solution architecture, configuration, validation, deployment, adoption, and scale-out
• Apply engineering/domain expertise to challenge assumptions, evaluate approaches, and ensure alignment with real-world constraints
• Lead cross-functional teams of Forward Deployed Engineers, data scientists, product managers, and engineers toward customer outcomes
• Collaborate with customers to validate requirements, workflows, and business impact across operations, reliability, and maintenance
• Guide interpretation and use of industrial data (signals, states, alarms, maintenance history, quality data, etc.) for problem solving
• Maintain accountability for solution quality, value, risks, progress, and executive communication
• Partner with product management/engineering to identify reusable capabilities and scale solutions across assets and facilities
• Support sales in opportunity assessment, defining problems, value, and deployment strategy; assist with SOWs and deployment plans
• Develop repeatable industry methodologies, patterns, and best practices; represent C3 AI in forums

Key requirements

• 7+ years in engineering, manufacturing, operations, reliability, maintenance, or technically focused consulting
• Deep experience in asset-intensive industries (oil & gas, chemicals, petrochemicals, etc.)
• Strong understanding of industrial equipment, processes, controls, and workflows
• Experience with industrial data (sensor/time-series, states, alarms, maintenance, production, quality) and data systems (SCADA, DCS, MES, ERP, etc.)
• Ability to translate engineering fundamentals into credible analytic/AI recommendations
• Proven track record leading complex, customer-facing technical engagements with engineers, operators, and executives
• Excellent presentation, written communication, leadership, and interpersonal skills
• Ability to travel to customer locations as required
• Experience delivering AI/analytics, optimization, predictive maintenance, or industrial digital transformation is preferred
• Hands-on technical experience with SQL, Python, analytics tools, data inspection, and troubleshooting
• Experience taking solutions from proof of value to production deployment and scale
• Experience scaling solutions across multiple assets, plants, or business units
• Authorized to work in the United States without sponsorship

• leadership
• cross-functional collaboration
• strong communication
• AI/ML/optimization
• industrial data analysis
• process controls and APC