CTO (Open for relocation)

nahc.io; Hong Kong; On-site; HKD 3,200,000 - 5,200,000; Full time

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

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).