At a Glance
- Tasks: Lead the tech vision and build a world-class engineering team for AI in energy.
- Company: Join OpenExpert.AI, a pioneering venture tackling global energy challenges.
- Benefits: Founding equity, competitive pay, and access to a network of industry experts.
- Why this job: Make a real impact on energy reliability and drive the global energy transition.
- Qualifications: 10+ years in engineering, with strong AI/ML and leadership experience.
- Other info: Flexible hybrid work environment with opportunities for professional growth.
The predicted salary is between 120000 - 150000 £ per year.
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
- Founding equity with significant long-term upside
- Competitive executive compensation post-fundraise
- Access to C10 Labs’ ecosystem of advisors, partners, and resources
- High ownership and autonomy to shape the product and engineering organization
- Real-world impact on energy reliability and the global energy transition
- Professional development support for training, conferences, and continuous learning
- Flexible hybrid work based in Boston/Cambridge
CTO & Co-Founder in Cambridge employer: C10labs
Contact Detail:
C10labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land CTO & Co-Founder in Cambridge
✨Tip Number 1
Network like a pro! Reach out to industry contacts, attend relevant meetups, and engage in online forums. The more people you know in the energy and AI sectors, the better your chances of landing that CTO role.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website where you can highlight your past projects, especially those related to AI/ML and energy systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and case studies relevant to the role. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at OpenExpert.AI. Tailor your application to reflect your passion for AI and the energy sector—it'll make a difference!
We think you need these skills to ace CTO & Co-Founder in Cambridge
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for the energy sector and AI shine through. We want to see that you’re not just looking for a job, but that you genuinely care about making a difference in energy reliability.
Tailor Your Experience: Make sure to highlight your relevant experience in engineering and AI/ML. We’re looking for someone who can lead and innovate, so connect your past roles to the responsibilities listed in the job description. Show us how you can own the technical vision!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re the perfect fit for the CTO role without wading through fluff.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at C10labs
✨Know Your Tech Inside Out
As a CTO & Co-Founder, you’ll need to demonstrate your deep understanding of AI/ML and engineering principles. Brush up on your knowledge of multi-modal models, distributed systems, and cloud platforms. Be ready to discuss your past experiences in building and scaling complex products.
✨Showcase Leadership Skills
This role requires strong technical leadership. Prepare examples of how you've built and led engineering teams in the past. Highlight your ability to foster an engineering culture and implement best practices that drive innovation and efficiency.
✨Align with Company Vision
Understand OpenExpert.AI's mission and how it fits into the broader energy sector challenges. Be prepared to discuss how your vision aligns with theirs and how you can contribute to their goal of enhancing energy reliability through AI.
✨Prepare for Strategic Discussions
As a co-founder, you'll be involved in strategy and fundraising. Think about how you would approach these topics. Prepare to discuss your experience with customer engagements and how you can help shape the go-to-market strategy for the product.