Global Alliance Director, NVIDIA

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Sr. Global Alliance Director, NVIDIA and AI Clouds

Employment Type

Full time

Location Type

Remote

Department

Partnerships & Ecosystems

Compensation

As a Sr. Global Alliance Director, NVIDIA and AI Clouds at vCluster Labs, you aren't just managing a partner relationship; you are building the alliance that decides how the world's AI factories get built. NVIDIA is the center of gravity of the AI infrastructure ecosystem, and vCluster is the tenancy layer that turns raw GPU infrastructure into secure, isolated, sellable cluster products - raising GPU utilization, compressing time-to-tenant from weeks to minutes, and delivering hard Tenant Isolation without hard silos for AI Clouds, sovereign AI builders, and enterprises. You will own the NVIDIA alliance end to end, worldwide: the strategy, the executive relationships, the integrations, the co-sell engine, and the number. Deals close in the field - your job is to make sure there are more of them, they are bigger, and they move faster because NVIDIA and vCluster are joined at the hip.

As a Sr. Global Alliance Director, NVIDIA and AI Clouds, your role will include:

Owning the global alliance strategy: You will serve as vCluster's dedicated alliance owner and primary point of contact for NVIDIA - strategy, executive alignment, program agreements, and business reviews. You will build trusted relationships across NVIDIA's GTM leadership, solutions architecture, product and engineering, partner programs, and field sales, and continuously monitor NVIDIA's roadmap, open-source initiatives, and organizational changes to spot opportunities and mitigate risk before anyone else does.

Building the sell-to motion: You will champion vCluster's position inside NVIDIA's own AI infrastructure direction and platform stack - including NVIDIA's open-source AI factory frameworks and bare-metal tenancy initiatives, where vCluster and vMetal serve as the abstraction and experience layer - so vCluster becomes part of how NVIDIA builds and recommends AI factories.

Building the sell-with motion: You will design, launch, and scale repeatable co-sell plays targeting mutual customers across NVIDIA Cloud Partners (NCPs), GPU-specialized AI Clouds, sovereign AI programs, hyperscalers, and large enterprises building AI factories - driving account mapping, joint pipeline development, and field-to-field engagement, then connecting resulting opportunities to vCluster's regional sellers, channel partners, and OEM alliances to close.

Driving technical and marketing alignment: You will represent NVIDIA's technology requirements - DPU/DPF and BlueField data paths, DGX and SuperPOD environments, NVL-class systems, NVIDIA AI Enterprise - inside vCluster Product and Engineering, drive joint validation through NVIDIA's ISV and certification programs, and build the enablement engine that makes vCluster the easiest "yes" in an NVIDIA seller's deal.

Constructing multi-party ecosystem plays: You will build "4-in-a-box" plays that combine NVIDIA, vCluster, and OEM, storage, and GSI partners around real customer outcomes - joint reference architectures, co-marketing, and demand generation that NVIDIA sellers can run without us in the room.

Owning the partnership number: You will report partner-sourced and partner-influenced pipeline, joint bookings contribution, integration and certification milestones, and field activation to vCluster leadership - with MEDDPICC on every joint opportunity and weekly pipeline inspection. Data over opinions. Process over heroics.

This role could be a fit for you if you bring:

Alliance leadership at scale: 10+ years in strategic alliances, partner sales, business development, or ecosystem leadership in enterprise software or AI infrastructure, with a proven track record building a strategic technology alliance that produced significant, measurable partner-sourced and partner-influenced revenue.

Deep NVIDIA ecosystem experience: You have managed an NVIDIA alliance, co-sold with NVIDIA field teams, or operated deeply within the NVIDIA Partner Network and GPU ecosystem - and you know how to navigate a massive, matrixed organization from senior technical decision-makers to GTM leadership.

AI infrastructure fluency: Working understanding of NVIDIA's technologies and programs (GPUs, DGX, SuperPOD, networking/DPUs, AI Enterprise, NCP, ISV certification) and of Kubernetes, cloud-native platforms, and AI/ML infrastructure - enough to earn credibility with architects and translate it into business value, ROI, and outcomes for executives.

Influence without authority: Demonstrated ability to mobilize cross-functional teams - Product, Engineering, Marketing, regional sales - on both sides of an alliance, without direct organizational control.

Operating rigor: Consultative, outcomes-based style with disciplined qualification (MEDDPICC or equivalent), forecasting hygiene, and reporting discipline.

Builder's instinct: Comfort operating in an ambiguous, high-velocity environment. You compress timelines rather than manage them - a builder, not a caretaker.

Existing NVIDIA relationships: A live network across NVIDIA partner programs, solutions architecture, or field sales that shortens your ramp.

Multi-party deal construction: History of building OEM, storage, or GSI plays around an anchor silicon partner.

MBA or equivalent commercial depth: Useful for program structuring and executive business reviews.

About vCluster Labs

We're the #1 platform for AI infrastructure, trusted by the world's fastest-growing AI cloud builders. We're a venture-backed startup that's raised over $28M from top-tier investors including Khosla Ventures (first investor in OpenAI, GitLab, Stripe, and DoorDash), and we're in a hyper-growth phase looking for motivated people to join our team. Our headquarters are in San Francisco (Salesforce Tower), but our team is distributed around the globe with a remote-first culture.

We give AI Cloud providers and AI factories a hyperscaler-like experience on their own GPU infrastructure. Our platform runs the full stack an operator needs, from bare metal provisioning and node lifecycle management up through managed Kubernetes, Slurm, Ray, and inference clusters, so they can turn raw GPUs into cluster products they can sell in days instead of spending 12+ months building it themselves. Today we power over 100,000 GPUs and 1 million CPUs across 50+ AI clouds and Fortune 500 companies, backed by a team of 40+ infrastructure engineers who build alongside our customers rather than just shipping them software.

We're 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. At KubeCon North America 2025, we launched our Infrastructure Tenancy Platform for AI, a Kubernetes-native framework built for running AI, ML, and GPU-intensive workloads anywhere, with an NVIDIA-validated reference architecture for DGX systems.

We offer the following benefits:

Competitive Salary : We offer a competitive compensation package, including equity.

Premium Insurance : Health, dental, vision, and life Insurance, including plans for you and eligible dependents (benefits vary depending on country).

Flexible Working Schedule: You have a doctor’s appointment or need to head to the supermarket to get groceries at 2pm? We won’t have an issue with that. To us, results matter more than clocking in and out at the same time every day.

Workplace Flexibility: We’re very flexible about where you work. We know things can change in life and we’re happy to adjust the work environment for you along the way.

Culture & Values

At vCluster Labs, we value and stand for:

Make it Happen: We have a relentless bias for action and the grit to push through obstacles. We do whatever it takes