Head of Engineering

OpenExpert.AI (a C10Labs company) is building the intelligence layer for the modern energy system.

We develop AI-powered systems that act as Digital Subject Matter Experts (SMEs) for power generation, transmission, and distributed energy operations. Our platform helps utilities, independent power producers (IPPs), and energy operators reduce downtime, improve asset reliability, and make faster, expert-level decisions in real time.

As the grid becomes more complex—with renewables, storage, and aging infrastructure—operators face increasing pressure to do more with less. We believe the future of energy reliability will be driven by AI systems that augment human expertise at scale.

About the role
OpenExpert.ai is hiring a Head of Engineering to lead, in equal measure, our product engineering strategy and our domain expertise in power plant operations. This role combines hands-on leadership across software, data, and AI systems with deep knowledge of generation asset operations, maintenance, troubleshooting, and reliability. You will help build trusted operational AI products that turn plant data, manuals, and institutional knowledge into fast, auditable recommendations for energy teams.Responsibilities

• Lead engineering strategy, architecture, and delivery across AI applications, data platforms, integrations, and production systems.

• Serve as the internal subject-matter expert on plant operations, maintenance workflows, outage response, root-cause analysis, reliability, and operator decision support.

• Translate real-world plant problems into product requirements, technical roadmaps, and scalable software solutions.

• Build and mentor a high-performing engineering team across backend, data, AI/ML, platform, and integration functions.

• Partner with product, design, and customers to develop features that integrate with SCADA, historians, CMMS/EAM, OEM documentation, and other operational systems.

• Define standards for security, uptime, traceability, testing, observability, and responsible AI in high-consequence environments.

• Validate model outputs and workflows against operational reality, safety expectations, and compliance requirements.

• Support customer discovery, pilot deployment, implementation planning, and executive communication with operators, utilities, and O&M leaders.