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Open nowPosted 126 days ago

Global Head of AI

Workable (global search)107,990 open roles

Where
Singapore
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Your applicationOpen nowGlobal Head of AIWorkable (global search) · Singapore

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 6 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 126 days ago

Workable (global search) median: 6 days open

The posting

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

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