Chief Technical Officer

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. 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.

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
• 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.

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.

Cross-Functional and 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 the next phase of growth across India, the UAE/GCC, and North America.

Requirements:

• Bachelor's degree in computer science, engineering, or a related field from a tier-1 institute.
• 12+ years of experience in software engineering and technology leadership.
• Proven experience in a CTO, VP of Engineering, or senior technology leadership role.
• Experience in Series A+ funded companies in leadership roles.
• 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.

Skills

AI, B2B SaaS, CTO, Generative AI, LLMs, machine learning, ML, SaaS, VP Engineering