Sr. Solutions Engineer

vCluster Labs • New York, NY

1d • Remote

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed