CTO (Fractional)
A Fractional CTO (Head of IT equivalent) is required to:
• Define and execute the digital product and AI/ML technical roadmap
• Oversee architecture design across ML, mobile application, and hardware integration
• Ensure scalable, production-ready system design aligned with MVP timeline
• Establish engineering standards including CI/CD, testing frameworks, and deployment processes
• Drive cross-functional alignment across product, engineering, design, and data teams
• Manage technical risk, IP considerations, and system scalability decisions
• Support immediate onboarding and rapid stabilization of technical execution
Technical Expertise
• End-to-end AI/ML system architecture (preferably audio, signal processing, or time-series data)
• Experience building and scaling machine learning pipelines in production environments
• Strong knowledge of mobile application architecture (iOS/Android or cross-platform frameworks)
• Hardware–software integration experience, including SDK evaluation and device interoperability
• Cloud architecture and scalable backend systems (AWS, GCP, or Azure)
• Experience implementing CI/CD pipelines, automated testing, and deployment frameworks
• Data engineering experience, particularly handling large unstructured datasets (e.g. audio, sensor data)
Qualifications, Skills & Experience
• Proven experience in a CTO, Head of Engineering, or senior technical leadership role
• Strong track record in leading end-to-end digital product development (from concept to MVP and scale)
• Experience working in fast-paced startup or innovation-driven environments
• Ability to translate business requirements into technical architecture and execution plans
• Strong cross-functional leadership across product, engineering, design, and data teams
• Experience managing technical risk, IP considerations, and product feasibility assessments
• Bachelor’s degree or higher in Computer Science, Engineering, or related technical field (preferred)
Nice to Have
• Prior experience in healthcare, wellness, sleep tech, or wearable technology domains
• Exposure to acoustic modelling, audio classification, or bio signal processing
• Experience working with small, fast-moving teams in early-stage product development
• Experience with cost optimisation of hardware solutions for scalable deployment
• Prior involvement in AI product launches with regulatory or compliance considerations
• Experience working in fractional / advisory CTO capacity