CTO (Open for relocation)

nahc.io; Hong Kong; On-site; HKD 1,500,000 - 2,500,000; Full time

Job summary

nahc.io is seeking a visionary Chief Technology Officer to lead its global engineering organization and drive the technical vision as the platform scales to enterprise customers. You will partner with the Founder & CEO, set the architecture, and build a distributed, multi-region team while delivering robust AI strategies and reliable, scalable real-time messaging and CRM capabilities.

This role demands hands-on leadership, deep production AI experience, and a track record of translating

Qualifications

• 8+ years in software engineering with executive leadership responsibility.
• Direct executive partnership with CEOs and ability to challenge assumptions.
• Deep production AI experience with live enterprise deployment.
• Hands-on architecting, system design, and debugging at scale.
• Strong product/marketing alignment with business KPIs.
• Proven ability to scale distributed engineering teams with reliability metrics.

Responsibilities

• 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.

Skills

Executive leadership

AI strategy & governance

LLM systems experience

Distributed teams leadership

Reliability and security

Product & GTM alignment

Education

Bachelor's degree in CS or related field

Tools

Cloud platforms

CI/CD pipelines

Container orchestration (Kubernetes)

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).