Vice President, AI Infra Deployment – APAC

Greenhouse Software, Inc.

Singapore

On-site

SGD 300,000 - 600,000

Full time

2 days ago
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Job summary

Nscale is seeking a dynamic VP of AI Infrastructure Deployment for APAC, based in Singapore. This senior leader will own end-to-end delivery of our AI infrastructure roadmap, connecting strategy to execution and turning growth plans into live, usable compute at scale.

You will lead multidisciplinary program teams, navigate regional supply chains and data center ecosystems, and partner with global leadership to deliver capacity quickly, reliably and at hyperscale.

Qualifications

  • 12+ years in program or delivery management.
  • 5+ years leading senior program managers on large-scale infra programs.
  • End-to-end delivery ownership of complex infrastructure programs.
  • Regional APAC data center market experience including partners and regulators.

Responsibilities

  • Drive platform delivery at scale: lead strategy and execution model for AI infra delivery.
  • Turn demand into an executable plan with clear requirements and roadmaps.
  • Schedule & delivery management: master deployment schedules and timelines.
  • Align internal teams and external partners across engineering, hardware, ops, supply chain, finance and product.
  • Make end-to-end delivery repeatable with global standards and BOM validation.
  • Identify constraints early, escalate when needed to keep GPU delivery on track.
  • Lead and scale the function by building a senior program leadership team.

Skills

Program leadership
APAC experience
Executive presence
Stakeholder management

Job description

Vice President, AI Infra Deployment – APAC
About the Role

Nscale is hiring a VP of AI Infrastructure Deployment for APAC, based in Singapore. This senior leader will own end-to-end delivery of our AI infrastructure roadmap, connecting strategy to execution and turning growth plans into live, usable compute at scale. The role drives alignment across infrastructure engineering, hardware, operations, supply chain, finance and product, managing timelines, dependencies and trade-offs with rigor. You will lead multidisciplinary program teams, navigate complex regional supply chains and data center ecosystems, and partner closely with global executive leadership to deliver mission-critical AI capacity quickly, reliably and at hyperscale.

What You'll Do
  • Drive platform delivery at scale: Lead the program strategy and execution model for AI Infra delivery, balancing speed, cost, reliability, and future growth.
  • Turn demand into an executable plan: Translate capacity demand into clear requirements, integrated roadmaps, and delivery plans teams can actually execute against.
  • Schedule & Delivery Management: Develop Master Deployment Schedules across design, procurement, integration, commissioning, and launch, enforce rigorous execution timelines, lead executive stakeholder messaging, and maintain unified customer communications across all regional milestones.
  • Align internal teams and external partners: Bring infrastructure engineering, hardware, ops, supply chain, finance, and product together on expectations, timelines, and trade‑offs, and manage colocation operators, contractors, suppliers, utilities, and regulators across multi‑megawatt to gigawatt-scale deployments in the APAC.
  • Make "rack dock to live" repeatable: Own and continuously improve the end‑to‑end path from delivery to production, enforcing global standards, QA/QC, and BOM validation while adapting to local regulatory and compliance requirements.
  • Manage risks and dependencies: Identify constraints early, make calls, and **escalate** when needed to keep GPU delivery on track.
  • Lead and scale the function: Build a small, senior team of program leaders.
Minimum Qualifications
  • Location: Must be based in Singapore.
  • Program leadership at scale: 12+ years in program or delivery management, including at least 5 years leading senior program managers on large-scale data center, cloud, or telecom infrastructure programs.
  • End-to-end delivery ownership: Proven track record of owning complex infrastructure programs from plan to production, including integrated schedules, dependencies, and cross-functional trade-offs.
  • Technical fluency: Working knowledge of the data center lifecycle, including rack integration, networking, commissioning, and operational handoff. You need enough depth to challenge engineering teams and make informed calls, not hands‑on expertise.
  • Regional ecosystem experience: Experience delivering in APAC data center markets, including colocation partners, power and grid constraints, and local regulatory requirements.
  • Executive presence: Demonstrated ability to align senior stakeholders, elevate with clarity, and represent delivery commitments to customers and leadership.
Preferred Qualifications
  • Experience delivering GPU or AI infrastructure at hyperscale (multi‑megawatt to gigawatt).
  • Background at a hyperscaler, neocloud, or large colocation provider.
  • Experience building a program function from an early stage.
What We're Looking For
  • Execution mindset: You move fast without cutting corners, and you bring structure and rigor to high‑growth, ambiguous environments.
  • Ownership and accountability: You own delivery outcomes end to end, hold milestone owners to their dates, and clear critical-path blockers before they become customer problems.
  • Influence without authority: You build alignment across engineering, operations, finance, external partners, and the C-suite, and you negotiate trade-offs with clarity and credibility.
  • Candor about risk: You surface bad news early, bring options instead of surprises, and help the business set realistic expectations with customers.
  • Systems builder: You turn one‑off heroics into repeatable processes, and you leave every program, and the function, better than you found it.

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