[Hiring] Global Head of AI @Fuku

Role Description

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)

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

Qualifications

• 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.

Requirements

• 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.

Benefits

• 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.