Chief Technology Officer

The core responsibilities for the job include the following:

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 optimization, and platform security.
• Establish engineering best practices, coding standards, and development processes.
• Lead cloud infrastructure strategy, DevOps, CI/CD, and platform modernization 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.

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 of 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.

Preferred 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.
• Key Competencies: Technology Vision, Strategic Leadership, Innovation Mindset, Engineering Excellence, Scalability and Architecture, AI and Data-Driven Thinking, Team Building and Mentorship, Problem Solving, Execution and Delivery Focus, and Stakeholder Management.