CTO

The candidate will have responsibilities across the following functions:

Technology Strategy and Leadership:

• Define and execute the company's long-term technology vision and roadmap.
• Align technology initiatives with business objectives and product strategy.
• Lead innovation across AI, machine learning, automation, analytics, and cloud technologies.
• Evaluate emerging technologies and identify opportunities for competitive advantage.

Engineering and Architecture:

• Oversee the design, development, scalability, and reliability of the XEBO.ai platform.
• Drive architectural decisions for scalable and secure enterprise SaaS applications.
• Ensure high system availability, performance optimisation, and platform security.
• Establish engineering best practices, coding standards, and development processes.
• Lead cloud infrastructure strategy, DevOps, CI/CD, and platform modernisation initiatives.

AI and Product Innovation:

• Collaborate closely with Product, Data Science, and Design teams to deliver AI-powered solutions.
• Guide the development and deployment of AI/ML models and intelligent automation capabilities.
• Drive innovation in Generative AI, NLP, predictive analytics, and customer experience technologies.
• Ensure scalability and responsible AI implementation practices.

Team Leadership and Culture:

• Build, mentor, and scale high-performing engineering and technology teams.
• Foster a culture of innovation, accountability, collaboration, and continuous learning.
• Hire and develop top engineering talent across backend, frontend, DevOps, QA, and AI functions.
• Drive cross-functional collaboration between engineering, product, sales, and customer success teams.

Security, Compliance and Governance:

• Ensure platform compliance with enterprise security and data privacy standards.
• Oversee cybersecurity, risk management, and disaster recovery planning.
• Implement governance frameworks for technology operations and scalability.
• Manage vendor relationships, infrastructure costs, and technology budgeting.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 12+ years of experience in software engineering and technology leadership.
• Proven experience in a CTO, VP Engineering, or senior technology leadership role.
• Strong experience building and scaling B2B SaaS platforms.
• Deep understanding of cloud platforms such as AWS, Azure, or GCP.
• Experience with AI/ML technologies, analytics platforms, and data-driven products.
• Strong knowledge of software architecture, distributed systems, APIs, databases, and DevOps.
• Experience managing engineering teams in fast-paced startup or growth-stage environments.
• Excellent leadership, communication, and stakeholder management skills.
• Experience in customer experience (CX), survey, or analytics platforms.
• Knowledge of Generative AI, LLMs, conversational AI, and intelligent automation.
• Experience with microservices architecture and scalable cloud-native systems.
• Understanding of enterprise integrations and data security frameworks.
• Familiarity with Agile/Scrum methodologies and product-led development.