Chief Technology Officer

Uplers Solutions Private Limited.; Dadri; On-site; INR 9,000,000 - 12,000,000; Full time

Job summary

Uplers Solutions Private Limited. searches for a CTO to drive technology vision and execution for Xebo.ai.

The role demands deep technical leadership, scalable SaaS and AI-driven platforms, and strong cross-functional influence across product, data science, and design. The ideal candidate will have 10+ years in software engineering and leadership, with proven success building B2B SaaS products on cloud platforms (AWS/Azure/GCP) and extensive experience in AI/ML technologies and scalable

Qualifications

• 10+ years of experience in software engineering and technology leadership.
• Proven experience in CTO, VP Engineering, or senior technology leadership roles.
• 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.

Skills

MERN

Tier 1 Institute

B2B SaaS

Gen AI

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

AWS

Azure

GCP

Job description

Experience: 10.00 + years

Salary: Confidential (based on experience)

Expected Notice Period: 60 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Office ()

Placement Type: Full Time Permanent position (Payroll and Compliance to be managed by: XEBO)

What do you need for this opportunity?

Must have skills required: MERN, Tier 1 Institute, B2B SaaS, Gen AI

XEBO is Looking for:

The 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 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.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 10+ years of experience in software engineering and technology leadership.
• Proven experience in a CTO, VP 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.

Interview Process

• Explo call with HR (45mins)
• 1st Round with Founder - yash
• Internal/external interviewer
• anand & yash - final round