Global Head of AI

Global Head of AI (Rapidly growing consumer tech firm)

*Mandarin professional working level proficiency (HSK 5 and above) is required due to frequent communication with North Asian stakeholders

Location

\- Singapore (Fully Remote)

About the Company

\- A rapidly scaling global technology platform serving millions of users across international markets.

\- The company is investing heavily in:

\- Recommendation systems

\- Personalization engines

\- AI-native products

\- Large language models

\- Agentic AI

\- Intelligent automation

\- AI infrastructure

\- Next-generation customer experiences

\- This role offers the opportunity to:

\- Define AI strategy at a global scale

\- Build world-class AI organizations

\- Drive measurable business outcomes through production-grade AI systems

\- The ideal candidate will have strong technical depth, commercial acumen, and proven experience leading large-scale AI organizations within consumer technology, fintech, internet, e-commerce, gaming, marketplace, social media, super-app, or other large-scale digital ecosystems.

Responsibilities

AI Strategy & Organizational Leadership

\- Define and execute the company’s global AI vision, strategy, and long-term technology roadmap.

\- Partner with executive leadership to identify high-impact AI opportunities across products, customer experiences, operations, growth, and platform capabilities.

\- Build, scale, and lead a world-class AI organization spanning:

\- AI Engineering

\- Machine Learning Engineering

\- Data Science

\- Applied Research

\- AI Product

\- Platform Engineering

\- Drive AI adoption across the organization, ensuring alignment with business objectives and measurable commercial outcomes.

\- Establish engineering excellence, governance frameworks, responsible AI practices, security standards, and operational scalability.

Recommendation, Search & Personalization

\- Lead the development of intelligent systems powering user engagement, customer experiences, and business growth, including:

\- Recommendation systems

\- Personalization engines

\- Search and discovery platforms

\- Retrieval systems

\- Ranking and re-ranking algorithms

\- User intent modelling

\- Real-time decisioning systems

\- Feedback loop optimization

\- Experimentation platforms

\- Lifecycle engagement and retention frameworks

Generative AI & Agentic AI

\- Drive the next generation of AI-powered capabilities, including:

\- Large Language Model (LLM) applications

\- Enterprise AI assistants

\- Conversational AI experiences

\- Agentic AI workflows

\- Multi-agent systems

\- Enterprise knowledge platforms

\- RAG-based solutions

\- AI copilots

\- Intelligent automation systems

\- AI-enhanced operational tooling

AI Platform & Infrastructure

\- Develop scalable AI infrastructure supporting model training, deployment, evaluation, monitoring, governance, and lifecycle management.

\- Build reusable AI services and platform capabilities to accelerate AI adoption across the organization.

\- Establish best-in-class MLOps, AI Operations, and AI Engineering practices.

\- Drive adoption of AI-native software development workflows and engineering productivity tooling.

Business Impact & Product Innovation

\- Partner with Product, Engineering, Operations, Commercial, Customer Experience, and Executive Leadership teams to:

\- Improve user engagement and retention

\- Enhance customer experiences through personalization

\- Drive intelligent automation and operational efficiency

\- Unlock new revenue opportunities through AI-enabled products

\- Accelerate innovation through AI-native capabilities

\- Translate AI investments into measurable business outcomes

Requirements

Required

\- Bachelor’s Degree or above in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Engineering, or related disciplines.

\- 10+ years of experience within Artificial Intelligence, Machine Learning, Data Science, Applied AI Engineering, or related fields.

\- Proven experience deploying AI systems into large-scale production environments serving millions of users.

\- Deep expertise in recommendation systems, personalization, search, ranking, intelligent decisioning, or related AI domains.

\- Strong experience building and deploying production-grade LLM applications and modern AI workflows.

\- Experience designing scalable AI platforms, MLOps ecosystems, AI infrastructure, or enterprise AI tooling.

\- Strong product mindset and demonstrated ability to connect AI initiatives to measurable business impact.

Leadership & Organizational Scale (Mandatory)

\- Demonstrated experience leading large-scale AI, Machine Learning, Data Science, or Applied AI organizations within global technology companies.

\- Experience managing managers and leaders.

\- Proven track record leading multi-layered organizations where multiple team leaders or department heads report directly into the candidate.

\- Experience managing organizations comprising multiple independent teams across areas such as AI Engineering, Machine Learning, Data Science, Recommendation Systems, Search, Personalization, Platform Engineering, AI Infrastructure, MLOps, or Applied Research.

\- Experience leading organizations of approximately 30+ professionals, with strong preference for candidates who have managed 50-100+ person organizations through a managers-of-managers structure.

\- Demonstrated success building organizations from the ground up, scaling teams internationally, and developing future leaders.

\- Experience operating at executive leadership level with responsibility for strategy, investment decisions, organizational design, talent planning, and cross-functional alignment.

Highly Preferred

\- Experience building consumer-facing AI products serving large-scale user ecosystems.

\- Background in recommendation systems, personalization, search, growth AI, conversational AI, customer engagement platforms, or intelligent decisioning systems.

\- Experience within high-scale consumer internet, fintech, e-commerce, gaming, marketplace, social media, streaming, or super-app environments.

\- Experience leading global teams distributed across multiple regions and time zones.

\- Experience building AI platforms, AI infrastructure, AI-native development environments, or enterprise AI capabilities.

\- Experience operating within fast-paced, high-growth international technology organizations.

Language Requirement

\- Mandarin Chinese is mandatory due to frequent collaboration with senior stakeholders, product leaders, and engineering teams across Greater China and the broader APAC region.

Why Join

\- Opportunity to define AI strategy at global scale.

\- Executive visibility and significant organizational influence.

\- Ownership of large-scale AI, recommendation, personalization, and AI platform initiatives.

\- Opportunity to build next-generation AI products used by millions of users globally.

\- Fully remote working arrangement based in Singapore.

\- Competitive compensation package including cash bonus and long-term incentives.

\- Fast-paced, entrepreneurial, and highly international environment.

*Only shortlisted candidates will be contacted due to the volume of applicants.

EA Licence No.: 25S3232

EA Personnel Reg. No.: R1874604

EA Personnel Name: Kenneth Ho