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Sr. Partner Solutions Engineer

vCluster LabsUnited StatesCustomer Engineering
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Salary
$140K - $180K USD
Job type
Full-time
Work mode
Remote
Posted
22 Jul 2026
Status
Open · checked 7d ago

About this role

The Senior Partner Solutions Engineer role at vCluster — Kubernetes Tenant Isolation for AI Infrastructure is a remote position based in the United States, designed for an experienced pre-sales professional ready to shape strategic technical partnerships. This opportunity suits an expert in cloud-native systems who thrives on driving partner-sourced pipeline and defining reference architectures for high-performance GPU environments.

Role Overview

As the first dedicated partner-facing pre-sales engineer at vCluster Labs, this position establishes the technical foundation for the entire partner ecosystem. Working closely with industry leaders like NVIDIA, AMD, WWT, and prominent AI Cloud providers, the professional in this role turns strategic relationships into validated reference architectures and enablement programs. The work involves whiteboarding GPU cloud architectures with partner solution architects in the morning and training partner sellers in the afternoon.

Key Responsibilities

Design and validate joint reference architectures spanning NVIDIA blueprints and foundational elements up through the platform layer, including vCluster, vNode, vMetal, and vCluster Platform.
Develop repeatable, sellable solutions complete with bills of material, deployment guides, demo environments, and benchmarks.
Build and deliver technical enablement for partner architects and sellers, conducting workshops at partner Centers of Excellence.
Enable internal field sales engineering teams to engage partners effectively and scale the partner motion.
Own technical discovery, demonstrations, and Proofs of Concept for partner-sourced opportunities while maintaining a disciplined POC model.
Establish a vCluster presence inside partner Centers of Excellence tied to qualified pipeline.
Cultivate executive sponsors and technical champions across a focused portfolio of priority partners.

Requirements

Deep expertise in Kubernetes, specifically regarding cluster architecture, tenant isolation, and the cloud-native ecosystem.
Proven background in technical pre-sales working alongside OEMs, GSIs, resellers, or cloud providers to drive co-selling and joint validation.
Extensive experience conducting discovery, whiteboarding, demos, and production-converting Proofs of Concept.
Demonstrated ability to create enablement content, workshops, hands-on labs, or certification paths from scratch.
Strong executive presence capable of engaging technical engineers and C-level leaders alike.

Nice to Have

Familiarity with the NVIDIA ecosystem, including DGX, Dynamo, GPU Operator, AI Enterprise, and related ecosystem certifications.
Understanding of AI infrastructure depth covering GPU infrastructure, storage, and networking for AI factories and GPU clouds.
Experience building or supporting GPU-as-a-Service or Kubernetes-as-a-Service platforms at AI Cloud or service providers.

Skills and Tools

Kubernetes
Cloud-native ecosystem architecture
Tenant isolation frameworks
Partner pre-sales and technical enablement

Salary and Benefits

Competitive annual salary ranging from $140,000 to $180,000 USD, supplemented with equity.
Premium insurance coverage including health, dental, vision, and life insurance options for employees and eligible dependents.
Flexible working schedule focused on results rather than traditional clocking in and out.
Workplace flexibility with a remote-first culture tailored to individual environmental needs.

vCluster Labs is the number one platform for AI infrastructure, backed by prominent investors like Khosla Ventures and trusted by top-tier AI cloud builders and Fortune 500 enterprises. Known as the creators of vCluster for Kubernetes tenant isolation, the company fosters an open-source culture rooted in meritocracy, relentless action, and a commitment to defining the state of the art in cloud infrastructure.

How to Apply

Interested candidates should visit the official company careers page to submit an application for this remote position.

Skills and tech stack

Kubernetes

Questions candidates ask

Is this position fully remote?

Yes, this is a remote role based in the United States within a remote-first company culture.

What is the salary range for this role?

The annual salary ranges from $140,000 to $180,000 USD, alongside equity and comprehensive benefits.

What kind of technical expertise is required?

Deep Kubernetes expertise covering cluster architecture, tenant isolation, and the broader cloud-native ecosystem is strictly required.

Who are some of the key partners mentioned for this role?

Priority partners include NVIDIA, AMD, WWT, and AI Cloud providers such as Nebius.

What benefits are provided with employment?

Benefits include competitive salary, equity, premium health, dental, vision, and life insurance, a flexible working schedule, and workplace flexibility.

Ready to apply?

The application is on the official vCluster Labs careers page.

Apply on company site