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Washington Heights, New York, United States · Remote OK
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New York, New York, United States · Hybrid
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Build the technical foundation of the partner ecosystem by designing validated reference architectures and delivering technical enablement for partner architects. Own technical discovery and Proofs of Concept for partner-sourced opportunities to drive pipeline growth.
Requires deep expertise in Kubernetes cluster architecture and proven experience in technical pre-sales with partners. Candidates should be skilled in creating enablement content and possess the executive presence to engage both engineers and CIOs.
As a Senior Partner Solutions Engineer at vCluster Labs, you aren’t just supporting partner deals; you are building the technical foundation of our partner ecosystem from the ground up. You will be our first dedicated partner-facing pre-sales engineer, turning relationships with NVIDIA, WWT, AMD, and AI Cloud providers like Nebius into validated reference architectures, enabled partner architects, and partner-sourced pipeline. Where there’s a GPU, vCluster needs to be there, and you are the person who makes that real: someone who can whiteboard a GPU cloud architecture with an NVIDIA solution architect in the morning and train a room of partner sellers in the afternoon.
Joint Reference Architectures: Design and validate reference architectures with strategic partners, from NVIDIA blueprints and AMD foundations up through the platform layer: vCluster, vNode, vMetal, and vCluster Platform. Turn one successful deployment into a repeatable, sellable solution with bills of material, deployment guides, demo environments, and benchmarks.
Partner Enablement: Build and deliver technical enablement for partner architects and sellers, including training dozens of architects at partner Centers of Excellence on the value proposition, cost, and performance story of the vCluster product family, so partners position us to win when we are not in the room.
Field Enablement: Enable vCluster’s internal field SEs to engage partners effectively, so the partner motion scales beyond one person and the field is never pulled off customers to cover channel work.
Partner-Led Opportunities: Own technical discovery, demos, and Proofs of Concept for partner-sourced opportunities, always in support of direct field ownership. Run a disciplined POC model: validated business problem, named sponsor, clear success criteria, and a defined production milestone.
Centers of Excellence: Stand up vCluster presence inside partner Centers of Excellence, such as WWT’s in St. Louis, tied to named customers and qualified pipeline rather than marketing labs.
Ecosystem Navigation: Build technical credibility across a focused set of 6–8 priority partners, cultivating executive sponsors and technical champions without becoming dependent on a single contact or business unit.
Deep Kubernetes expertise: You go deep on cluster architecture, Tenant Isolation, and the cloud-native ecosystem, and you can master vCluster, vNode, and vMetal inside and out. This one is required, not preferred.
Partner pre-sales experience: You have worked with partners (OEMs, GSIs, resellers, or cloud providers) in a technical pre-sales capacity and you understand the partner dynamic: co-selling, joint validation, and winning through someone else’s sellers.
Solutions engineering craft: Years of discovery, whiteboarding, demos, and POCs that actually convert to production, with the qualification discipline to say no to science projects.
Enablement building: You have created enablement content, workshops, hands-on labs, or certification paths from scratch, and the partners you enabled kept winning after you left the room.
Executive presence: You can hold the room with a Kubernetes engineer and a CIO in the same meeting, and you move people you don’t manage.
NVIDIA ecosystem experience: DGX, Dynamo, GPU Operator, AI Enterprise, or NVIDIA certifications, plus an understanding of how NVIDIA blueprints and partner validation actually work.
AI infrastructure depth: GPU infrastructure, storage, and networking for AI factories and GPU clouds (Weka- and VAST-class storage literacy is a plus).
AI Cloud or GPU-as-a-Service experience: Time building or supporting GPU-as-a-Service or Kubernetes-as-a-Service platforms at AI Cloud providers or service providers.
We are a venture-backed tech startup and the company pioneering Kubernetes virtualization for the AI era. We raised +$30M from top-tier VCs such as Khosla Ventures (first investor in OpenAI, GitLab, Stripe, Doordash) and are in a hyper-growth phase looking for motivated people to complement our team. Our headquarters are in San Francisco (Salesforce Tower), but our team is distributed around the globe and we have a remote-first work culture.
We are the leading platform for operating GPU infrastructure, enabling AI Cloud providers to deliver a hyperscaler-like experience to their customers and AI factories that need to build that same experience for their internal teams. Our platform delivers the full operational stack operators need to run their GPU data centers — managed Kubernetes, fast isolated tenant provisioning, and automated node provisioning and lifecycle management — enabling them to accelerate time to value, reduce operational burden, and maximize the ROI of every GPU.
We're the company behind vCluster, an open-source technology for virtualizing Kubernetes (10k+ GitHub stars, 40M+ virtual 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 purpose-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.
Platinum-Level 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.
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 to figure it out, put in the work, and ruthlessly prioritize the actions that drive measurable impact for the business.
Own the Outcome: We understand that our responsibility doesn't end when a task is checked off; it ends when the value is delivered. We connect our daily individual actions to the broader success of the company and our customers.
Create Wow: We measure success by the experience we generate, both inside and outside the company. For our customers, this means impressive speed and intuitive experiences. For our team, this means going the extra mile to support one another and to continuously drive each other to new heights.
Open Source, Open Mind: We are actively contributing to and maintaining open-source projects. Internally, we foster meritocracy — the strongest ideas win, no matter who or where they come from.
Build Tomorrow’s Standards, Intentionally: We don't just ship software; we define the state-of-the-art of tomorrow. We are fearless in tearing down old approaches to build something better, but we are disciplined in how we do it because we know our users rely on our technology to run mission-critical infrastructure platforms.
Create & Manage Tenant Clusters Like a Hyperscaler
At vCluster, we build the tools that make Kubernetes simpler, more efficient, and cost-effective. Our open-source projects enable platform engineers to streamline multi-tenancy, reduce cloud costs, and scale their Kubernetes environments with ease. With over 100 enterprises using our solutions, we’re focused on helping teams move faster, save money, and maintain stability in their platform stacks. Whether you’re managing multi-tenant clusters or optimizing resource usage, vCluster provides the building blocks to make it happen.
Offices: 415 Mission St, Fl. 37, San Francisco, California 94105, US
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