Field CTO, Artificial

• Proven experience managing or scaling forward-deployed, solutions, or field engineering teams within enterprise software or SaaS
• Deep technical understanding of modern architectures, APIs, and data models
• Strong programming background and the ability to engage confidently with both engineers and executives
• Excellent communicator who can simplify complex ideas and build trust with senior stakeholders
• Commercially minded: you understand how technology decisions affect revenue, cost, and operational performance
• Comfortable operating in a fast-moving, high-ambiguity scale-up environment
• Organised, delivery-focused, and skilled at balancing short-term wins with long-term product vision
• Think you don’t meet every requirement? Please apply anyway. We value potential as much as experience, and we know that raw talent counts

Desirable

• We are looking for a Field CTO to lead Artificial’s forward-deployed engineering team, who are responsible for working directly with brokers, carriers, and MGAs to design, implement, and scale real-world solutions built on our platform
• This is a hands-on leadership role that combines technical depth with commercial awareness and operational excellence
• You’ll manage a team of engineers embedded with clients, ensuring each engagement delivers measurable impact while feeding product insights back into the core platform
• You’ll work closely with our Co-CEOs, CTOs, and Commercial leadership to define our technical engagement model, shape the structure of the forward-deployed function, and represent Artificial’s technology vision to the market
• Lead and scale Artificial’s forward-deployed engineering team, setting the standard for technical excellence and delivery across all client engagements
• Act as the senior technical authority for client architecture and implementation, ensuring solutions are robust, scalable, and aligned with our platform principles
• Coach, mentor, and develop engineers who operate in complex client environments whilst ensuring consistent quality, pace, and knowledge transfer
• Translate client business requirements into technical solutions using Brossa, our proprietary domain-specific programming language
• Work alongside brokers and underwriters to model insurance products, placement logic, and data flows on the platform
• Partner with Product and Engineering leadership to turn real-world feedback into roadmap priorities and design improvements
• Define and continuously improve delivery processes, tooling, and governance for client projects
• Represent Artificial’s technical vision to senior client stakeholders and industry audiences, including conferences and partner forums
• Oversee integrations, proof-of-value deployments, and large-scale rollouts, ensuring successful transition from pilot to production