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