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About the Role

As a Senior Partner Solutions Engineer at vCluster Labs, you will build the technical foundation of our partner ecosystem, turning relationships with NVIDIA, WWT, AMD, and AI Cloud providers into validated reference architectures, enabled partner architects, and partner-sourced pipeline. You will be the first dedicated partner-facing pre-sales engineer, capable of architecting GPU cloud solutions and training partner teams.

Responsibilities

Design and validate reference architectures with strategic partners, including NVIDIA blueprints and AMD foundations, and extend them through the platform layer: vCluster, vNode, vMetal, and vCluster Platform.
Transform successful deployments into repeatable, sellable solutions with bills of materials, deployment guides, demo environments, and benchmarks.
Build and deliver technical enablement for partner architects and sellers on the vCluster product family's value proposition, cost, and performance.
Enable vCluster’s internal field SEs to effectively engage partners, scaling the partner motion beyond a single individual.
Own technical discovery, demos, and Proofs of Concept for partner-sourced opportunities, supporting direct field ownership.
Run a disciplined POC model with validated business problems, named sponsors, clear success criteria, and defined production milestones.
Establish vCluster presence within partner Centers of Excellence, tied to named customers and qualified pipeline.
Build technical credibility across 6–8 priority partners, cultivating executive sponsors and technical champions.

Requirements

Deep Kubernetes expertise, including cluster architecture, Tenant Isolation, and the cloud-native ecosystem.
Ability to master vCluster, vNode, and vMetal.
Partner pre-sales experience, working with OEMs, GSIs, resellers, or cloud providers.
Understanding of the partner dynamic: co-selling, joint validation, and winning through others.
Proven solutions engineering skills, including discovery, whiteboarding, demos, and POCs that convert to production.
Qualification discipline to decline non-viable projects.
Experience creating enablement content, workshops, hands-on labs, or certification paths.
Executive presence, capable of engaging with both technical and business stakeholders.
Ability to influence stakeholders without direct management authority.

Skills

Kubernetes
Cluster Architecture
Tenant Isolation
Cloud-Native Ecosystem
vCluster
vNode
vMetal
Pre-sales Engineering
Solutions Engineering
Demos
Proofs of Concept (POCs)
Technical Enablement
Workshop Delivery
Hands-on Labs
Certification Path Development
Executive Presence
NVIDIA Ecosystem (DGX, Dynamo, GPU Operator, AI Enterprise)
NVIDIA Certifications
AI Infrastructure
GPU Infrastructure
Storage for AI
Networking for AI
Weka Storage Literacy
VAST Storage Literacy
AI Cloud
GPU-as-a-Service
Kubernetes-as-a-Service

Location

San Francisco (Salesforce Tower)
Remote-first

Work Type

Full-time
Remote

Experience Level

Senior

Salary/Compensations

Competitive compensation package, including equity

Benefits

Competitive Salary
Equity
Platinum-Level Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Flexible Working Schedule
Workplace Flexibility

About the Company

vCluster Labs is a venture-backed tech startup pioneering Kubernetes virtualization for the AI era.
We have raised over $30M from top-tier VCs like Khosla Ventures.
We are in a hyper-growth phase.
Our headquarters are in San Francisco (Salesforce Tower), but we operate with a remote-first work culture.
We are the leading platform for operating GPU infrastructure, enabling AI Cloud providers and AI factories.
Our platform delivers managed Kubernetes, fast isolated tenant provisioning, and automated node provisioning and lifecycle management.
We aim to accelerate time to value, reduce operational burden, and maximize GPU ROI.
We are the company behind vCluster, an open-source technology for virtualizing Kubernetes with over 10k GitHub stars and 40M+ virtual clusters created since 2021.
Open source is integral to our DNA.
We launched our Infrastructure Tenancy Platform for AI at KubeCon North America 2025, featuring 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 extends to value delivery, connecting individual actions to company and customer success.
Create Wow: Success measured by internal and external experiences, focusing on speed, intuitive experiences, and mutual support.
Open Source, Open Mind: Active contribution to open-source projects and fostering a meritocracy where strong ideas prevail.
Build Tomorrow’s Standards, Intentionally: Defining the state-of-the-art by fearlessly challenging old approaches and building better, disciplined solutions for mission-critical infrastructure.