Chief Technology Officer

Chief Technology Officer (CTO) – Xebo.ai Location – Noida About Xebo.aiXebo.ai is a series A funded company. We are an AI-powered customer experience and insights platform helping enterprises transform customer feedback, engagement, and analytics into actionable business intelligence. Our platform leverages AI, automation, and advanced analytics to deliver scalable enterprise solutions across industries. Founded in 2016–17 and headquartered in UAE, with operations spanning the UAE, USA, and India, Xebo.ai serves organizations across financial services, retail, healthcare, telecom, public sector, and B2B — from omni-channel survey creation and real-time sentiment analysis to its AI CX Assistant, XEBO, which automates insight generation and recommendations across CX, EX, Digital, and Brand research. We work with leading enterprise clients globally. Our platform's impact has been recognized by leading industry analysts — we've been named in the Gartner Magic Quadrant 2025 for VoC Platforms, positioned as a Leader in the 2025–2026 IDC MarketScape for Worldwide VoC Applications, and recognized by QKS Group (SPARK Matrix).We are seeking a visionary and execution-driven Chief Technology Officer (CTO) to lead the company’s technology strategy, architecture, engineering excellence, and AI innovation initiatives.Role OverviewThe CTO will be responsible for driving the overall technology vision and execution at Xebo.ai. This leadership role requires deep technical expertise, strategic thinking, people leadership, and experience building scalable SaaS and AI-driven platforms. The ideal candidate should have strong experience leading engineering organizations, building enterprise-grade products, scaling technology infrastructure, and driving innovation in high-growth startup environments.Key ResponsibilitiesTechnology Strategy & LeadershipDefine 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 & ArchitectureOversee 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 & Product InnovationCollaborate 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 & CultureBuild, 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 teamsSecurity, Compliance & GovernanceEnsure platform compliance with enterprise security and data privacy standardsOversee cybersecurity, risk management, and disaster recovery planning.Implement governance frameworks for technology operations and scalability.Manage vendor relationships, infrastructure costs, and technology budgeting.Cross-Functional & Customer ImpactWork closely with Product, Sales, and Customer Success to understand critical customer/technical issues and ensure timely resolution.Represent technology to customers, prospects, and partners during enterprise deals, RFPs, and security reviews.Act as a key member of the leadership team driving Xebo.ai's next phase of growth across India, UAE/GCC, and North America.Required QualificationsBachelor's degree in computer science, Engineering, or related field from tier-1 institute12+ years of experience in software engineering and technology leadership.Proven experience in a CTO, VP Engineering, or senior technology leadership role.Proven experience in Technology companies will be preferredStrong experience building and scaling B2B SaaS platforms.Experience in Series A+ funded companies in leadership role.Experience with AI/ML technologies, analytics platforms, and data-driven