Live opening · Posted 1 day ago
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About the role
Description supplied by the original job listing.
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 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 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.
Skills
AI, CI/CD, DevOps, ML, NLP, artificial intelligence, cloud, cybersecurity, machine learning, security
Experience
10-14 yrs
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