Top Tech Jobs & Startup Jobs

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 and grow the Western regional sales organization for a Kubernetes and AI infrastructure platform. Responsibilities include recruiting enterprise account executives, owning regional go-to-market strategy, driving pipeline generation and land-and-expand motions, coaching strategic deals, partnering on field events, and ensuring forecast accuracy. The role requires technical fluency with cloud-native ecosystems, executive-level communication, and experience scaling high-growth sales teams in Kubernetes, AI infrastructure, or cloud platforms.

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.

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 product direction for vMetal, defining specs and tradeoffs, validating alpha/beta builds on bare metal, engaging platform-engineer customers, positioning the product in the GPU/bare-metal ecosystem, and aligning engineering, sales, and GTM teams.

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 architecture and backend development for the vCluster platform by designing and implementing Kubernetes-native solutions in Go, owning features end-to-end, contributing to open-source, and solving deep systems challenges around multi-tenancy, isolation, and GPU infrastructure.

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.