Jobs Companies Nahc CTO (Open for relocation)

About this CTO (Open for relocation) role at Nahc

Nahc · Onsite · Hong Kong
Overview
 
Our client is a  global, high-growth conversational AI and customer engagement platform, seeking a visionary, battle-tested Chief Technology Officer (CTO) to lead its global engineering organization. Serving as a direct strategic peer to the Founder & CEO, you will hold ultimate accountability for the technical vision, application infrastructure, and product architecture as the platform scales upmarket. You will lead a distributed global engineering team, turning complex business challenges into concrete technical solutions. 

What you will do:

  • Own the end-to-end technical strategy, architecture, and roadmap across real-time multi-channel messaging platforms, CRM systems, and AI orchestration engines.
  • Serve as a strategic thought partner to the Founder & CEO—articulating technical trade-offs, driving critical architectural decisions, and providing constructive pushback on key initiatives.
  • Lead, scale, and mentor a distributed, multi-region engineering organization, building autonomous team structures to eliminate key-person dependencies.
  • Drive the production AI strategy, deploying dependable LLM and agentic workflows with strict evaluations, guardrails, and accuracy benchmarks rather than mere prototypes.
  • Bridge technical priorities with commercial outcomes, aligning engineering roadmaps directly with revenue, customer retention, and go-to-market priorities.
  • Implement enterprise-grade reliability engineering, multi-tenancy safeguards, security frameworks, and performance standards to support mid-market and enterprise growth.
  • What you will need:

  • 8+ years of software engineering experience with a proven track record as the final technical decision-maker and executive leader.
  • Demonstrated history of direct executive partnership with CEOs, with the communication skill and confidence to challenge assumptions and defend sound technical strategies.
  • Deep production AI experience, including building, evaluating, and scaling LLM and agentic systems in live enterprise environments.
  • Solid technical problem-solving capabilities—remaining hands-on enough to guide complex system design, lead whiteboard architectural sessions, and debug high-level issues.
  • Strong product and commercial acumen, with a history of connecting engineering output directly to business KPIs alongside Product and GTM leadership.
  • Proven success building, scaling, and retaining distributed engineering teams while instilling rigorous reliability engineering metrics (uptime, security, performance).
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