Sr. Global Alliance Director, NVIDIA and AI Clouds at vCluster Labs | CA, US | Rezi

Sr. Global Alliance Director, NVIDIA and AI Clouds at vCluster Labs

Sr. Global Alliance Director, NVIDIA and AI Clouds

vCluster Labs · CA, US

Yesterday

Sr. Global Alliance Director, NVIDIA and AI Clouds

vCluster Labs · CA, US

2 days ago
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About the Role

As a Sr. Global Alliance Director, NVIDIA and AI Clouds at vCluster Labs, you will build the alliance that determines how the world's AI factories are built. You will own the NVIDIA alliance end-to-end, worldwide, including strategy, executive relationships, integrations, co-sell, and revenue targets. Your goal is to ensure NVIDIA and vCluster are tightly integrated, leading to more, larger, and faster deals.

Responsibilities

  • Owning the global alliance strategy, serving as the primary point of contact for NVIDIA.
  • Building trusted relationships across NVIDIA's GTM leadership, solutions architecture, product and engineering, partner programs, and field sales.
  • Continuously monitoring NVIDIA's roadmap, open-source initiatives, and organizational changes to identify opportunities and mitigate risks.
  • Championing vCluster's position within NVIDIA's AI infrastructure direction and platform stack.
  • Designing, launching, and scaling repeatable co-sell plays targeting mutual customers.
  • Driving account mapping, joint pipeline development, and field-to-field engagement.
  • Connecting opportunities to vCluster's regional sellers, channel partners, and OEM alliances.
  • Representing NVIDIA's technology requirements within vCluster Product and Engineering.
  • Driving joint validation through NVIDIA's ISV and certification programs.
  • Building the enablement engine to make vCluster an easy choice for NVIDIA sellers.
  • Building multi-party ecosystem plays combining NVIDIA, vCluster, and OEM, storage, and GSI partners.
  • Owning the partnership number, reporting partner-sourced and partner-influenced pipeline, joint bookings, and field activation.
  • Utilizing MEDDPICC for all joint opportunities and conducting weekly pipeline inspections.

Requirements

  • 10+ years in strategic alliances, partner sales, business development, or ecosystem leadership in enterprise software or AI infrastructure.
  • Proven track record building a strategic technology alliance that produced significant, measurable partner-sourced and partner-influenced revenue.
  • Experience managing an NVIDIA alliance, co-selling with NVIDIA field teams, or operating within the NVIDIA Partner Network and GPU ecosystem.
  • Ability to navigate a massive, matrixed organization from senior technical decision-makers to GTM leadership.
  • Working understanding of NVIDIA's technologies and programs (GPUs, DGX, SuperPOD, networking/DPUs, AI Enterprise, NCP, ISV certification).
  • Working understanding of Kubernetes, cloud-native platforms, and AI/ML infrastructure.
  • Ability to earn credibility with architects and translate technical concepts into business value, ROI, and outcomes for executives.
  • Demonstrated ability to mobilize cross-functional teams 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 an ambiguous, high-velocity environment.
  • A builder's instinct, compressing timelines rather than managing them.

Skills

  • Strategic alliances
  • Partner sales
  • Business development
  • Ecosystem leadership
  • Enterprise software
  • AI infrastructure
  • NVIDIA ecosystem
  • NVIDIA Partner Network
  • GPU ecosystem
  • Kubernetes
  • Cloud-native platforms
  • AI/ML infrastructure
  • MEDDPICC
  • Open-source
  • Multi-party deal construction

Location

  • San Francisco
  • Global

Work Type

  • Remote-first

Experience Level

  • 10+ years

Education Level

  • MBA or equivalent commercial depth (bonus)

Salary/Compensations

  • Competitive Salary
  • Equity

Benefits

  • Competitive compensation package
  • Equity
  • Health, dental, vision, and life Insurance
  • Flexible Working Schedule
  • Workplace Flexibility

About the Company

  • vCluster Labs is the #1 platform for AI infrastructure, trusted by the world's fastest-growing AI cloud builders.
  • We are a venture-backed startup that has raised over $28M from top-tier investors.
  • We are in a hyper-growth phase.
  • Our headquarters are in San Francisco (Salesforce Tower), but our team is distributed globally with a remote-first culture.
  • We provide AI Cloud providers and AI factories with a hyperscaler-like experience on their own GPU infrastructure.
  • Our platform runs the full stack needed by an operator, from bare metal provisioning and node lifecycle management to managed Kubernetes, Slurm, Ray, and inference clusters.
  • We enable customers to turn raw GPUs into sellable cluster products in days, rather than spending over 12 months building it themselves.
  • We currently power over 100,000 GPUs and 1 million CPUs across 50+ AI clouds and Fortune 500 companies.
  • We are backed by a team of 40+ infrastructure engineers who build alongside our customers.
  • We are the company behind vCluster, the open-source technology for tenant isolation on Kubernetes, with 11,000+ GitHub stars and 40M+ tenant clusters created since 2021.
  • Open source is part of our DNA.
  • We launched our Infrastructure Tenancy Platform for AI at KubeCon North America 2025, a Kubernetes-native framework built for running AI, ML, and GPU-intensive workloads anywhere, with an NVIDIA-validated reference architecture for DGX systems.

Equal Opportunity

  • Make it Happen: Relentless bias for action and grit to push through obstacles.
  • Own the Outcome: Responsibility ends when value is delivered; connect daily actions to company and customer success.
  • Create Wow: Measure success by the experience generated for customers and the team.
  • Open Source, Open Mind: Actively contributing to open-source projects; foster meritocracy internally.
  • Build Tomorrow’s Standards, Intentionally: Define the state-of-the-art; fearless in tearing down old approaches to build better, disciplined execution.