Application Deadline: 31 January 2026
Department: Studio
Location: Cambridge
Description
CTO & Co-Founder — OpenExpert.AI (A C10 Labs Venture)
OpenExpert.AI is building a Digital Subject Matter Expert for the energy sector—an AI system capable of expert reasoning, real-time diagnostics, and proactive guidance for power plants, transmission networks, and distributed energy assets.
This is not a chatbot. It is the intelligence layer for the modern grid.
Why This Matters
Energy reliability is a $50B+ global challenge. Aging infrastructure, workforce shortages, and renewable integration create complexity that exceeds human capacity.
The next leap will come from AI systems that understand multi-modal operational data, reason like expert engineers, and guide operators toward decisive action.
If we succeed, we meaningfully strengthen critical infrastructure and accelerate the energy transition.
Key Responsibilities
- Own the technical vision and architecture of the OpenExpert.AI Digital SME platform
- Build and lead a world-class engineering team across AI/ML, data, and full-stack
- Develop multi-modal AI systems for diagnostics, reasoning, and predictive analytics
- Drive rapid product development from prototype to customer pilots
- Ensure secure and scalable integrations with industrial systems (SCADA/OT, OEM platforms, enterprise tools)
- Establish engineering culture, best practices, and long-term technical roadmap
- Partner with CEO on strategy, fundraising, customer engagements, and go-to-market
- Operate as a true co-founder with ownership over technical outcomes
Skills, Knowledge and Expertise
Technical Leadership
• 10+ years of engineering experience, including 5+ years in senior roles (CTO, VP Eng, Head of AI)
• Proven ability to build and scale engineering teams and ship complex products from concept to production
AI/ML Expertise
• Deep experience with LLMs, multi-modal models (time-series, sensor, imagery, text), explainable AI, knowledge graphs, and real-time predictive analytics
• Track record building enterprise-grade AI systems and integrating them into complex or mission-critical environments
Systems & Infrastructure
• Strong foundation in distributed systems, microservices, and cloud platforms (AWS/Azure/GCP)
• Experience with industrial IoT, SCADA/OT systems, or critical infrastructure is a strong plus
Domain Knowledge (Preferred, Not Required)
• Energy sector familiarity—generation, T&D, renewables, or industrial operations
• Understanding of O&M workflows, asset performance, or predictive maintenance
• Exposure to regulatory frameworks (NERC, ISO, EPA) or industrial protocols (Modbus, OPC UA, DNP3)
Education
• MS or PhD in Computer Science, Electrical Engineering, or a related field—or equivalent practical experience
• Publications in AI/ML or industrial systems are a plus
Benefits
What you’ll get:
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Founding equity with significant long-term upside
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Competitive executive compensation post-fundraise
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Access to C10 Labs’ ecosystem of advisors, partners, and resources
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High ownership and autonomy to shape the product and engineering organization
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Real-world impact on energy reliability and the global energy transition
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Professional development support for training, conferences, and continuous learning
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Flexible hybrid work based in Boston/Cambridge
