300K–320K SGD / year

Sr. APAC Partnerships & Ecosystems Leader

Business developmentRemote — Singapore, APAC
Published on 2026-11-02
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Build vCluster Labs’ APAC partner ecosystem and route to market from the ground up. Recruit and activate regional partners, generate partner-sourced pipeline, and lead co-selling for AI infrastructure and AI Factory opportunities.

About the company

vCluster Labs builds virtual Kubernetes clusters that let platform teams create isolated environments on top of shared clusters for engineering and AI workloads.

The team

Partnerships & Ecosystems; reports to the VP, Worldwide Partnerships & Ecosystems.

Stack

GPU infrastructureKubernetesSlurmRayNVIDIA DGX

What you'll do

  • Recruit and develop strategic SIs, MSPs, VARs, OEMs, distributors, and NVIDIA relationships across APAC.
  • Establish two-tier distribution and partner programs, including margins, deal registration, MDF, and services attach.
  • Build joint plans, enable partner sellers, and run co-sell pursuits with account executives.
  • Create an APAC partner playbook, training, certifications, and demo environments.
  • Manage partner pipeline, forecasts, and performance using MEDDPICC or an equivalent methodology.
  • Bring APAC customer and regulatory requirements to product teams and help secure a sovereign or telco AI Factory reference win.

What we're looking for

  • 12+ years in partnerships, channel, or alliances roles in infrastructure software, cloud, IaaS, or AI, including 5+ years covering APAC.
  • Demonstrated success opening a region or partner motion from zero and driving cloud or IaaS revenue through partners.
  • Current relationships with APAC SIs, MSPs, VARs, distributors, NVIDIA regional teams, and at least one server OEM.
  • Hands-on experience building two-tier distribution and MSP programs.
  • Knowledge of APAC procurement and government and regulated-industry requirements for AI infrastructure.
  • Technical credibility in cloud infrastructure, GPU, HPC, Kubernetes, or bare metal.
  • Strong forecasting skills and fluent English; able to work autonomously across time zones.

Nice to have

  • Japanese, Korean, or Mandarin language skills.
  • Experience placing software on an OEM or NVIDIA reference architecture.
  • Partner-led sovereign AI or telco AI Factory wins.

Benefits

  • Equity
  • Health, dental, vision, and life insurance (varies by country)
  • Flexible working schedule and workplace flexibility
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