Jobs at vCluster

Owns end-to-end test strategy, designs scalable backend and UI automation frameworks, integrates automated testing into CI/CD pipelines, performs exploratory testing, and advocates for testability and reliability across engineering and product. The role requires strong programming, Kubernetes and distributed-systems knowledge, debugging ability, and cross-functional ownership in a fast-moving startup.

Lead global OEM, storage, and ISV alliances for vCluster Labs, owning partner strategy, executive relationships, joint solution validation, seller enablement, commercial agreements, pipeline, forecasting, and partner-attributed bookings. Build integrations and verified AI Factory configurations with hardware, storage, networking, software, NVIDIA, distributors, and channel partners. Drive partner-sourced revenue through field activation, joint pursuits, resale paths, marketing, and disciplined MEDDPICC-based pipeline management.

Build and lead vCluster Labs’ global VAR, OEM, distributor, and alliance channel from zero to revenue. Recruit and activate strategic partners, establish commercial models and deal registration, secure OEM integrations, drive co-selling and enablement, manage MDF, inspect partner pipeline, and own bookings. Initially operate as an individual contributor, then hire and lead the channel organization across North America, EMEA, and APJ.

Own quote-to-cash processes, Salesforce administration, automation, deal desk support, commissions support, reporting, dashboards, data hygiene, and process documentation. Provide rapid support and enablement to sales representatives, maintain accurate pipeline and ARR data, resolve discrepancies across systems, and help design scalable revenue operations processes for a growing B2B SaaS company.

Own and build targeted account-based demand generation for platform engineering and infrastructure buyers: design multi-touch ABM campaigns, manage paid channels and livestreams, align with sales/PMM/DevRel, and own pipeline reporting, budget allocation, and channel performance to drive qualified opportunities.

Own and execute a high-velocity social program for LinkedIn and X: plan and publish content, translate executive technical insights into thought leadership, manage community engagement, react to industry news, and provide live event coverage while upholding editorial quality and brand voice.

Design and build the core vCluster Platform using Go and deep Kubernetes expertise. Own backend features end to end, from technical design through release, while solving complex systems architecture challenges involving networking, storage, isolation, and resource sharing. Contribute to open-source projects and the Kubernetes community, operate autonomously in a high-growth startup, and help define scalable Kubernetes multi-tenancy solutions.

Design and develop the backend of the vCluster Platform using Go and deep Kubernetes expertise. Own features end to end, from technical design through release, while solving complex systems and multi-tenancy challenges. Contribute to open-source projects and Kubernetes community initiatives, build scalable isolation and resource-sharing solutions, and operate autonomously in a fast-growing startup environment.

Own post-sales customer outcomes for a technical SaaS platform. Lead onboarding, architecture workshops, integrations, success planning, adoption, business reviews, renewals, and expansion. Build relationships with executives, platform engineers, and DevOps teams while providing credible guidance on Kubernetes, RBAC, tenant isolation, and cloud infrastructure. Identify risks and growth opportunities, articulate business value, and advocate for customer needs internally.

Lead customer deployments of Kubernetes and vCluster on bare-metal GPU infrastructure, configuring GPU nodes, networking, storage, RDMA, and InfiniBand. Validate production-ready managed Kubernetes environments, troubleshoot complex infrastructure, transfer operational knowledge, document reusable deployment playbooks, and provide feedback to Engineering and Product. Support pre-sales proof-of-value engagements and help AI cloud and factory customers independently operate and scale their platforms.

Lead product direction for cloud-native GPU infrastructure and Kubernetes virtualization. Translate business priorities into technical specs, run alpha/beta validations, engage platform-engineer customers, define market positioning, and align engineering, sales, and marketing to ship and support scalable multi-tenant GPU platforms.

Lead architecture and execution of vNode runtime integration with containerd and the kubelet, define and test namespace-based isolation primitives, mentor engineers, run design reviews, operate internal tenant clusters, and represent the project in upstream communities and conferences.

Lead end-to-end GPU-focused Kubernetes deployments from bare metal to production-ready vCluster environments. Configure and troubleshoot GPU nodes (GPU Operator, CUDA, RDMA/InfiniBand), CNI and storage (CSI, Ceph/Rook/Weka/Longhorn), validate managed K8s, produce playbooks, transfer knowledge to customers, and feed infrastructure learnings back to Product and Engineering while supporting pre-sales proofs of value.

Lead end-to-end post-sales customer success for vCluster: onboard customers, build success plans, drive adoption, articulate business value, run executive reviews, design deployment architectures, and own renewals and expansion while advocating customer needs to Product and Engineering.

Lead and build the finance and accounting function for a high-growth SaaS startup. Own FP&A and financial modeling, ensure accurate accounting and compliance, manage audits and month-end close, lead fundraising diligence and investor relations, partner with the executive team and Board, and influence product and sales decisions using unit economics. Hands-on operator expected to run models and query the data warehouse.

Design and validate partner reference architectures, enable partner and field teams, run partner-sourced POCs and demos, stand up partner Centers of Excellence, and cultivate technical and executive relationships with strategic GPU and cloud partners to scale channel-driven pipeline.