Skip to main content
vCluster Labs

Global Alliance Director, NVIDIA

RemoteUnited States only
Published
Role
Business Development
Experience
Lead
Employment
Full-time
Company size
Startup
$225k–$280k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior strategic alliances leader (10+ years) to own the NVIDIA partnership globally. Must have deep NVIDIA ecosystem experience, co-sell/alliance leadership, and AI infrastructure fluency (GPUs, DGX/SuperPOD, Kubernetes). US-based role (listed United States); remote-first company.

Core skills

Strategic alliancesNVIDIA ecosystemAI infrastructure

Required skills

NVIDIA GPUsDGXSuperPODBlueFieldDPUKubernetesNVIDIA AI EnterpriseNCP (NVIDIA Cloud Partners)ISV certification programsMEDDPICC

Optional skills

Existing NVIDIA relationshipsOpen-source ecosystem familiarityMulti-party deal construction (OEM/storage/GSI)MBA or equivalent commercial depth

What you'll do

  • Own the global alliance strategy as vCluster's dedicated alliance owner and primary point of contact for NVIDIA: strategy, executive alignment, program agreements, and business reviews.
  • Build trusted relationships across NVIDIA GTM leadership, solutions architecture, product and engineering, partner programs, and field sales; monitor NVIDIA roadmap and initiatives to spot opportunities and mitigate risk.
  • Champion vCluster's position inside NVIDIA's AI infrastructure direction and platform stack, including open-source AI factory frameworks and bare-metal tenancy initiatives.
  • Design, launch, and scale repeatable co-sell plays targeting mutual customers across NVIDIA Cloud Partners, GPU-specialized AI Clouds, sovereign AI programs, hyperscalers, and large enterprises.
  • Drive account mapping, joint pipeline development, and field-to-field engagement; connect opportunities to regional sellers, channel partners, and OEM alliances to close.
  • Represent NVIDIA's technology requirements (DPU/DPF, BlueField, DGX, SuperPOD, NVL-class systems, NVIDIA AI Enterprise) inside vCluster Product and Engineering and drive joint validation through ISV and certification programs.
  • Build enablement and marketing alignment to make vCluster an easy 'yes' for NVIDIA sellers.
  • Construct multi-party ecosystem plays combining NVIDIA, vCluster, OEM, storage, and GSI partners around joint reference architectures, co-marketing, and demand generation.
  • Own and report partner-sourced and partner-influenced pipeline, joint bookings contribution, integration and certification milestones, and field activation with disciplined pipeline inspection.

What they require

  • 10+ years in strategic alliances, partner sales, business development, or ecosystem leadership in enterprise software or AI infrastructure with proven track record of partner-sourced and partner-influenced revenue.
  • Deep NVIDIA ecosystem experience: managed an NVIDIA alliance, co-sold with NVIDIA field teams, or operated within the NVIDIA Partner Network and GPU ecosystem.
  • Working understanding of NVIDIA technologies and programs (GPUs, DGX, SuperPOD, networking/DPUs, AI Enterprise, NCP, ISV certification) and of Kubernetes, cloud-native platforms, and AI/ML infrastructure.
  • Demonstrated ability to mobilize cross-functional teams (Product, Engineering, Marketing, regional sales) on both sides of an alliance without direct organizational control.
  • Consultative, outcomes-based style with disciplined qualification (MEDDPICC or equivalent), forecasting hygiene, and reporting discipline.
  • Comfort operating in ambiguous, high-velocity environments and compressing timelines rather than managing them.

Benefits

  • Competitive Salary: We offer a competitive compensation package, including equity.
  • Platinum-Level Insurance: Health, dental, vision, and life Insurance, including plans for you and eligible dependents (benefits vary depending on country).
  • Flexible Working Schedule: Results matter more than clocking in and out at the same time every day.
  • Workplace Flexibility: Very flexible about where you work; remote-first work culture.

Venture-backed tech startup pioneering Kubernetes virtualization for the AI era. The company provides a platform for operating GPU infrastructure, enabling AI Cloud providers and AI factories to deliver managed Kubernetes, isolated tenant provisioning, and automated node provisioning and lifecycle management.

🇺🇸 United StatesTechnologyStartup
$225k–$280k/yr