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XEBO.ai

Chief Technology Officer

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Description

We are looking for a visionary and execution-driven CTO to lead our technology strategy, engineering organisation, architecture, and AI innovation initiatives.


Responsibilities:

  • Define and execute the company's technology vision, architecture and roadmap.
  • Lead the design, development, scalability and reliability of enterprise-grade B2B SaaS platforms.
  • Drive innovation across AI/ML, Generative AI, NLP, automation and analytics.
  • Own cloud infrastructure, DevOps, CI/CD, security and platform modernisation.
  • Drive architectural decisions around distributed systems, microservices, APIs and scalable cloud-native platforms.
  • Build, mentor and scale high-performing teams across Backend, Frontend, DevOps, QA and AI/ML.
  • Partner closely with Product, Data Science, Design, Sales and Customer Success teams.
  • Establish engineering best practices, development standards and a culture of innovation, ownership and engineering excellence.
  • Oversee technology security, compliance, risk management and disaster recovery.
  • Manage technology budgets, infrastructure costs and strategic technology partnerships.


Requirements:

  • 12+ years of experience in software engineering and technology leadership.
  • Proven experience as a CTO, VP Engineering, Head of Engineering, or equivalent senior technology leader.
  • Strong experience building and scaling B2B SaaS products/platforms.
  • Deep understanding of AWS / Azure / GCP and cloud-native architecture.
  • Strong expertise in software architecture, distributed systems, microservices, APIs and databases.
  • Experience with AI/ML, Generative AI, LLMs, NLP, analytics or data-driven products.
  • Proven experience managing and scaling engineering organisations in startup/growth-stage environments.
  • Strong leadership, strategic thinking, stakeholder management and execution skills.


Good to Have:

  • Experience in Customer Experience, Survey or Analytics platforms.
  • Exposure to LLMs, Conversational AI and Intelligent Automation.
  • Experience with enterprise integrations and data-security frameworks.
  • Experience with product-led development and Agile/Scrum.

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