Industry Solution Leader - Power and Utilities (Power Generation and Battery Storage Dispatch Optimization)
About this role
Leading customer engagements from initial problem definition to production deployment, this role involves defining enterprise AI solutions for power and utilities clients with a focus on power generation and battery storage dispatch optimization. The person in this position collaborates directly with customer engineering, operations, maintenance, and executive teams while guiding cross-functional technical groups consisting of forward deployed engineers, data scientists, and product teams. Responsibilities include translating complex operational challenges into tractable artificial intelligence and machine learning problems, challenging customer assumptions using deep engineering expertise, and ensuring solutions align with industrial realities.
C3 AI operates as an enterprise application software company delivering integrated products like the C3 Agentic AI Platform, industry-specific SaaS applications, and generative AI offerings. This position exists to bridge the gap between heavy industrial operations and advanced software platforms by applying deep domain expertise to asset-intensive use cases. Candidates who possess a strong mechanical, electrical, or chemical engineering background combined with client-facing leadership experience tend to thrive in this environment.
What you will do
- Manage the complete technical direction and delivery outcomes for customer engagements from initial problem definition to production scale.
- Serve as the primary domain expert and customer-facing leader to understand operational constraints and business objectives.
- Translate complex engineering problems into tractable artificial intelligence, machine learning, and optimization tasks.
- Lead cross-functional technical teams including forward deployed engineers, data scientists, and product managers.
- Validate solution performance and operational workflows directly with customer engineers, reliability teams, and executives.
- Support sales teams by defining customer problems, solution approaches, technical requirements, and deployment strategies.
What you need
- Hold a bachelor's degree in Engineering or a related technical discipline.
- Bring at least 7 years of professional experience in engineering, manufacturing, operations, reliability, maintenance, or industrial consulting.
- Demonstrate deep experience in asset-intensive industries such as utilities and power generation, oil and gas, or heavy manufacturing.
- Possess a strong understanding of industrial equipment, manufacturing processes, process controls, and operational workflows.
- Show demonstrated experience leading complex, customer-facing technical engagements with multidisciplinary stakeholder groups.
- Have experience working with industrial data including sensor readings, time-series data, maintenance history, and alarms.
Nice to have
- Experience delivering AI, machine learning, advanced analytics, optimization, or predictive maintenance solutions.
- Hands-on technical experience with industrial data, SQL, Python, analytics tools, or application scripting.
- Experience with rotating equipment, electrical equipment, utility assets, or other complex industrial systems.
- Experience taking technical solutions from initial proof of value through production deployment.
Skills and tech stack
Questions candidates ask
What is the salary range for this role?
The salary for this position ranges from $130,000 to $203,000 USD.
Where are the positions located?
The role is located in New York, New York or Redwood City, California.
What travel is required for the job?
The position requires the ability to travel to customer locations as required.