Associate Director, Product Management (RE:AI)

SINGAPORE TELECOMMUNICATIONS LIMITED; Singapore; On-site; SGD 100,000 - 120,000; Full time

Job summary

A leading telecommunications company in Singapore seeks an experienced product manager for their RE:AI division, focusing on AI infrastructure. The role includes financial management, productization of AI solutions, and collaboration with cross-functional teams. Candidates should have over 10 years in product management and expertise in pricing models and AI infrastructure. The position offers flexible work arrangements and a robust benefits package.

Benefits

Flexible work arrangements

Full suite of health and wellness benefits

Ongoing training and development programs

Internal mobility opportunities

Qualifications

• Minimum 10+ years of experience in product management, preferably in telecommunications, cloud infrastructure, or AI compute domains.
• Proven success in managing P&L, pricing models, and lifecycle management for enterprise or platform-based products.
• Strong understanding of AI infrastructure (GPU clusters, HPC, sovereign AI clouds, or edge data centers).

Responsibilities

• Lead end-to-end product financial management for RE:AI solutions.
• Define and execute productization frameworks for new AI infrastructure products.
• Develop and manage dynamic pricing structures and monetization models.

Skills

Product financial management

Pricing models

Stakeholder management

Cross-functional leadership

Stakeholder management

Cross-functional leadership

Education

Degree in Engineering, Computer Science, or Business

Job description

Role Overview

Singtel Digital InfraCo’s RE:AI division is building Asia’s most advanced and sustainable AI infrastructure ecosystem. RE:AI enables enterprises, research institutions, and digital-native businesses to accelerate innovation through responsible, high-performance AI compute and connectivity solutions.

Key Responsibilities

• Lead end-to-end product financial management for RE:AI solutions, including revenue forecasting, cost optimization, and profitability tracking.
• Define and execute productization frameworks for new AI infrastructure products and services, turning technical capabilities into commercially scalable offerings.
• Develop and manage dynamic pricing structures and monetization models aligned with market demand, capacity utilization, and strategic partnerships.
• Collaborate with infrastructure, capacity management, and operations teams to align product roadmap with upcoming GPU, data center, and cloud capacity expansions.
• Lead complex bid and tender responses for large-scale AI infrastructure opportunities, coordinating technical, commercial, and regulatory inputs across teams.
• Complement and enhance existing product lines (connectivity, data centre, cloud infrastructure, and AI platforms) to create integrated end-to-end solutions for customers.
• Analyze emerging AI infrastructure trends, customer requirements, and competitive landscapes to guide product differentiation and roadmap prioritization.
• Partner with Sales, Engineering, Finance, and Strategy teams to ensure alignment between business goals, product delivery, and customer value realization.

Qualifications & Experience

• Degree in Engineering, Computer Science, or Business preferred.
• Minimum 10+ years of experience in product management, preferably in telecommunications, cloud infrastructure, or AI compute domains.
• Proven success in managing P&L, pricing models, and lifecycle management for enterprise or platform-based products.
• Strong understanding of AI infrastructure (GPU clusters, HPC, sovereign AI clouds, or edge data centers).
• Demonstrated experience in leading complex bids and solution proposals with enterprise or government clients.
• Excellent stakeholder management and cross-functional leadership capabilities.

Rewards that Go Beyond

• Flexible work arrangements
• Full suite of health and wellness benefits
• Ongoing training and development programs
• Internal mobility opportunities

Your Career Growth Starts Here. Apply Now!