Chief Technical Officer

XEBO.ai; Dadri; On-site; INR 5,000,000 - 14,000,000; Full time

Job summary

XEBO.ai is seeking a seasoned CTO to define and execute the company's technology vision, driving engineering excellence and scalable, secure AI-first products. You will partner with product, data science, business, and leadership to shape the technology roadmap and build high-performing teams.

This role targets a technology leader with deep enterprise SaaS, cloud, and AI/ML expertise, guiding architecture, security, and governance in a high-growth environment.

Qualifications

• Bachelor's or master's degree in computer science, engineering, or a related field.
• 12+ years of software engineering and technology leadership experience.
• Proven track record as CTO/VP Engineering or equivalent in B2B SaaS.

Responsibilities

• Define and execute the long-term technology vision aligned with business objectives.
• Drive technology roadmap, architecture, and platform scalability.
• Lead AI/ML initiatives and scalable AI infrastructure.
• Build secure, enterprise-grade SaaS platforms and distributed systems.
• Foster high-performing engineering teams and cross-functional collaboration.
• Oversee security, compliance, and data privacy standards.

Skills

Architecture design

Cloud computing

AWS

Azure

GCP

Leadership

DevOps

SaaS

AI/ML

Security

Education

Bachelor's or Master's in CS/Engineering

Job description

As the CTO, you will define and execute the company's technology vision, drive engineering excellence, and build scalable, secure, AI-first products. You will work closely with product, data science, business, and leadership teams to shape the technology roadmap while building high-performing engineering teams.

This role is ideal for a technology leader with deep expertise in enterprise SaaS, cloud architecture, AI/ML, and scaling engineering organizations in high-growth environments.

The core responsibilities for the job include the following:

Technology Strategy and Leadership

• Define and execute the long-term technology vision aligned with business objectives.
• Drive technology roadmap, architecture, and platform scalability.
• Evaluate emerging technologies and identify opportunities to create competitive advantage.
• Lead innovation across AI, machine learning, cloud, automation, and analytics.

Engineering and Platform Architecture

• Own the architecture, scalability, reliability, and performance of the XEBO. ai platform.
• Build secure, enterprise-grade SaaS applications and distributed systems.
• Drive engineering best practices, coding standards, CI/CD, DevOps, and cloud modernization.
• Ensure high availability, performance optimization, and platform security.

AI and Product Innovation

• Partner with Product, Data Science, and Design teams to deliver AI-powered customer experience solutions.
• Lead development and deployment of AI/ML models and intelligent automation capabilities.
• Drive innovation in generative AI, NLP, LLMs, predictive analytics, and conversational AI.
• Establish responsible AI implementation and scalable AI infrastructure.

Leadership and Team Building

• Build, mentor, and scale high-performing engineering teams across backend, frontend, DevOps, QA, data engineering, and AI.
• Foster a culture of innovation, ownership, collaboration, and continuous learning.
• Drive cross-functional collaboration with Product, Sales, Customer Success, and Business teams.
• Attract and retain top engineering talent.

Security and Governance

• Ensure enterprise-grade security, compliance, and data privacy standards.
• Oversee cybersecurity, infrastructure governance, disaster recovery, and risk management.
• Manage technology budgets, cloud infrastructure costs, and strategic vendor partnerships.

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 as a CTO, VP Engineering, Head of Engineering, or equivalent technology leadership role.
• Strong experience building and scaling enterprise B2B SaaS platforms.
• Deep expertise in AWS, Azure, or Google Cloud Platform.
• Strong understanding of software architecture, distributed systems, APIs, databases, and cloud-native applications.
• Experience leading engineering teams in startup or high-growth technology companies.
• Hands-on knowledge of AI/ML technologies, analytics platforms, and data-driven products.
• Excellent leadership, communication, stakeholder management, and strategic planning skills.

Preferred Qualifications

• Experience building customer experience (CX), survey, feedback management, or analytics platforms.
• Hands-on exposure to generative AI, large language models (LLMs), conversational AI, and intelligent automation.
• Experience with microservices architecture and cloud-native engineering.
• Understanding of enterprise integrations and scalable SaaS ecosystems.
• Key Skills: Technology Strategy CTO Engineering Leadership Enterprise SaaS B2B SaaS Software Architecture: Distributed Systems Cloud Architecture: AWS, Azure, GCP, AI/ML Generative AI LLMs NLP DevOps CI/CD Microservices Platform Engineering Product Engineering Engineering Management Team Building Cybersecurity Data Privacy Customer Experience (CX) Analytics.