Global AI Platform CTO - Scale Architecture & Teams

nahc.io

Hong Kong

On-site

HKD 3,200,000 - 5,200,000

Full time

11 days ago
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Job summary

nahc.io is seeking a visionary CTO to lead its global engineering org from Hong Kong. You will own the technical vision, platform architecture, and real-time multi-channel AI ecosystems as the company scales to enterprise customers.

You will guide a distributed, multi-region team, drive production AI strategy with robust guardrails, and align engineering roadmaps with revenue and GTM priorities, while maintaining reliability and security across the stack.

Qualifications

  • 8+ years of software engineering experience with final technical decision-maker responsibilities.
  • Experience partnering with CEOs, with strong communication to defend technical strategies.
  • Deep production AI experience with LLMs and agentic systems.
  • Hands-on approach to architecture, debugging, and whiteboard sessions.
  • Strong product and commercial acumen, linking engineering to KPIs.
  • Proven success building and retaining distributed engineering teams with reliability metrics.

Responsibilities

  • Own end-to-end technical strategy, architecture, and roadmap.
  • Partner with the Founder & CEO to drive architectural decisions.
  • Lead a distributed, multi-region engineering org and reduce key-person risk.
  • Drive production AI strategy with rigorous evaluation and guardrails.
  • Bridge engineering priorities with revenue, retention, and GTM goals.
  • Implement enterprise-grade reliability, security, and performance standards.

Skills

Executive leadership
AI strategy & systems
Distributed systems
Production AI (LLM/agentic)
Security & reliability engineering
Executive partnership with CEO

Job description

nahc.io is seeking a visionary CTO to lead its global engineering org from Hong Kong. You will own the technical vision, platform architecture, and real-time multi-channel AI ecosystems as the company scales to enterprise customers.

You will guide a distributed, multi-region team, drive production AI strategy with robust guardrails, and align engineering roadmaps with revenue and GTM priorities, while maintaining reliability and security across the stack.

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