Associate Director, Product Management

Singapore Telecommunications Limited; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

A leading telecommunications firm in Singapore is seeking an experienced Associate Director – Product Management. This role will drive the commercial and product success of their RE:AI division, focusing on product lifecycle management from strategy to profitability. Candidates should have over 10 years of product management experience, especially in telecommunications or AI contexts. The position offers flexible work arrangements and a full suite of health benefits. Join us to innovate in AI infrastructure.

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 or AI compute.
• Proven success in managing P&L and lifecycle management.
• Strong understanding of AI infrastructure components.

Responsibilities

• Lead end-to-end product financial management.
• Define and execute productization frameworks for new products.
• Develop dynamic pricing structures and monetization models.
• Collaborate with teams on product roadmap alignment.
• Lead complex bids for large-scale AI infrastructure opportunities.
• Enhance existing product lines to create integrated solutions.
• Analyze trends and guide product differentiation.
• Partner with teams to ensure alignment on business goals.

Skills

Product financial management

Stakeholder management

Cross-functional leadership

AI infrastructure knowledge

Education

Degree in Engineering, Computer Science, or Business

Job description

About Singtel Digital InfraCo – RE:AI

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.

Role Overview:

RE:AI is expanding its product management team and hiring for an additional Associate Director – Product Management to play a key leadership role in driving the commercial and product success of RE:AI. The role requires to complement existing product team in driving holistic ownership of the product lifecycle — from market strategy and productization to pricing and profitability — ensuring RE:AI offerings align with business growth and capacity expansion goals while complementing the existing product portfolio.

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

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