Key Responsibilities Technology Strategy & 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 & 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 & 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 & 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 & 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. Cross-Functional & Customer Impact
- Work 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 Qualifications
- Bachelor's degree in computer science, Engineering, or related field from tier-1 institute
- 12+ years of experience in software engineering and technology leadership.
- Proven experience in a CTO, VP Engineering, or senior technology leadership role.
- Experience in Series A+ funded companies in leadership role.
- Proven experience in Technology companies will be preferred
- Strong experience building and scaling B2B SaaS platforms.
- Experience with AI/ML technologies,



analytics platforms, and data-driven products.
- Entrepreneurial mindset to innovate and lead the technology and product vertical
- 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 organizational data synthesis, journey orchestration, 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 & Architecture
- AI & Data-Driven Thinking
- Team Building & Mentorship
- Problem Solving
- Execution & Delivery Focus
- Stakeholder Management What We Offer
- Chance to lead technology innovation in a high-growth series A funded AI company.
- Ownership of enterprise-scale AI and SaaS platforms.
- Collaborative and entrepreneurial work environment.
- Competitive compensation and leadership incentives including stock options.
- Opportunity to work with global clients and cutting-edge technologies.

Required Skills ['MEAN Stack', 'DevOps', 'AI/ML', 'Client Communication']

Additional Information

NA

📌 Chief Technology Officer (CTO) (Noida)
🏢 HuntingCube
📍 Noida