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Open nowPosted 22 days ago

REGIONAL GENERAL MANAGER

MyCareersFuture94,028 open roles

Pay
SGD 15,000 – SGD 18,000 a Monthly
Where
Singapore
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Your applicationOpen nowREGIONAL GENERAL MANAGERMyCareersFuture · Singapore

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This job: posted 22 days ago

The posting

REGIONAL GENERAL MANAGER – MaaS & AI INFRASTRUCTURE

Location: Singapore Employment Type: Full-Time, Permanent Seniority: Senior Management Monthly Salary: S$15,000–S$18,000 Regional Coverage: Singapore, Malaysia, Greater China and selected ASEANmarkets

ROLE OVERVIEW

We are seeking a Regional General Manager to lead the commercialisation andregional development of our Model-as-a-Service (MaaS), GPU cloud and AIinfrastructure business.

Based in Singapore, the successful candidate will be responsible fordeveloping and executing the regional business strategy, establishing acomplete MaaS commercial model, building enterprise customer and strategicpartner pipelines, managing regional P&L, coordinating with the Chinaheadquarters and Malaysia delivery centre, and building the regional commercialteam.

This is a senior leadership role requiring proven experience in AIinfrastructure, cloud services, enterprise business development, regionaloperations and 0-to-1 business execution.

KEY RESPONSIBILITIES

1. RegionalStrategy and P&L Management

• Develop and execute the regional business strategy for MaaS, GPU computeleasing and AI infrastructure services.

• Take ownership of regional revenue, budget, commercial performance andP&L targets.

• Identify market opportunities and customer demand across Singapore,Malaysia, Greater China and selected ASEAN markets.

• Conduct market research, competitive analysis and commercial feasibilityassessments.

• Provide strategic recommendations and regular business performance reportsto senior management.

2. MaaSCommercialisation and Go-to-Market

• Develop the go-to-market strategy for MaaS, GPU cloud and AIinfrastructure services.

• Define target customer segments, product packages, pricing models, saleschannels and partnership structures.

• Establish a commercial framework covering GPU capacity, compute services,model deployment, inference services and Token-based consumption.

• Develop commercial offerings such as dedicated GPU clusters, GPUinstances, API services, inference services and Token Factory partnerships.

• Work with product and technical teams to translate customer requirementsinto scalable commercial solutions.

3. Platformand Revenue Model Development

• Work with internal product and technical teams to support the plannedlaunch of the MaaS MVP platform by December 2026.

• Define commercial requirements for customer onboarding, usage measurement,pricing, billing, settlement and revenue reporting.

• Establish an end-to-end commercial process covering GPU resources, computeconsumption, model services, Token usage, invoicing and revenue collection.

• Coordinate with finance, legal, compliance and technical teams to ensurethat the billing and settlement model supports audit, internal control andcross-border service requirements.

4. Customerand Partner Development

• Build and manage a qualified regional pipeline of enterprise customers, AImodel companies, developers, technology companies and AI solution providers.

• Lead customer engagement, commercial presentations, proposal development,contract negotiations and account development.

• Develop strategic partnerships with data centres, GPU infrastructureproviders, technology vendors, cloud service providers, system integrators andindustry organisations.

• Work with technical teams to organise customer PoCs and convert validateduse cases into commercial contracts.

5. RegionalOperations and Stakeholder Management

• Coordinate business activities among the Singapore headquarters, Malaysiadelivery centre and China headquarters.

• Build and maintain relationships with government agencies, industryassociations, strategic partners and enterprise customers.

• Manage cross-border commercial considerations relating to KYC,contracting, data governance, export controls, service delivery and billing.

• Ensure that regional customer commitments are aligned with the company’stechnical and operational capabilities.

6. TeamBuilding and Leadership

• Recruit, build and manage the regional MaaS commercialisation team.

• Establish clear responsibilities, sales processes, performance targets andmanagement reporting mechanisms.

• Lead cross-functional collaboration among commercial, product, technical,finance, legal and operations teams.

• Develop a performance-driven, collaborative and entrepreneurial teamculture.

REQUIREMENTS

• Bachelor’s degree in Business, Computer Science, Engineering, InformationTechnology or a related discipline.

• At least 10 years of relevant professional experience, including at least5 years in cloud computing, AI platforms, GPU cloud, MaaS, API services,enterprise technology or related commercial roles.

• Proven experience in regional business development, go-to-market strategy,product commercialisation or P&L management.

• Strong understanding of GPU compute leasing, cloud infrastructure, largelanguage model training and inference, API-based AI services, Token consumptionand usage-based billing.

• Demonstrated experience building a new business, platform, product orcommercial operation from 0 to 1.

• Proven ability to develop enterprise customers and strategic partnershipsacross multiple markets.

• Experience working with cross-border service delivery, customeronboarding, KYC, contracting, billing or compliance requirements.

• Strong leadership, commercial negotiation and senior stakeholdermanagement capabilities.

• Excellent written and spoken English, as English will be used for regionaloperations, documentation, customer engagement and commercial negotiations.

• Professional proficiency in Mandarin is required for regular business andtechnical coordination with the China headquarters, China-based engineeringteams, customers and strategic partners.

• Willing and able to travel regularly to Malaysia, China and other regionalmarkets.

PREFERRED QUALIFICATIONS

• Experience with an AI cloud provider, hyperscaler, GPU infrastructurecompany, data centre operator, AI model company or enterprise technologyplatform.

• Experience designing GPU-hour, compute-hour, API-based, usage-based orToken-based commercial and billing models.

• Existing relationships within the AI, cloud computing, data centre,developer or enterprise technology ecosystem.

• Experience managing regional commercial operations and cross-border teams.

KEY PERFORMANCE INDICATORS

• Successful commercial readiness and launch support for the MaaS MVPplatform.

• Regional revenue, gross margin and P&L performance.

• Qualified customer pipeline and commercial conversion.

• Customer PoC conversion and successful platform deployment.

• Number and value of strategic partnerships established.

• Completion of the usage measurement, billing, settlement and revenuereporting framework.

• Successful recruitment and management of the regional commercialisationteam.

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