You will partner with engineering leadership to define technical direction and product strategy while managing the full lifecycle of product surfaces. Additionally, you will engage directly with customers to gather intelligence and collaborate with GTM teams to sharpen market positioning.
You will lead and scale a regional sales team while owning the go-to-market strategy for a category-defining AI infrastructure platform. This role involves driving pipeline generation, managing complex enterprise deals, and fostering a high-performance culture through strategic recruitment and operational rigor.
You will own the global alliance strategy with NVIDIA, managing executive relationships and driving co-sell motions to accelerate AI infrastructure adoption. You are responsible for building repeatable sales plays, ensuring technical alignment, and reporting on partner-sourced pipeline and joint bookings.
You will own the systems for discovering, provisioning, and managing physical hardware to create a programmable platform for AI cloud operators. You will also bridge engineering, sales, and marketing teams to ensure product alignment with customer needs and market positioning.
You will manage a high volume of enterprise contracts, including MSAs and NDAs, while partnering with sales and leadership to facilitate deal closures. Additionally, you will build and maintain contract templates and playbooks to streamline legal processes and ensure efficient risk management.
You will own the end-to-end technical recruiting process for engineering and product roles while serving as the primary ambassador for the company in the EMEA region. Additionally, you will partner with leadership to define technical requirements and build high-quality pipelines through proactive sourcing.
Build the technical foundation of the partner ecosystem by designing validated reference architectures and delivering technical enablement for partner architects. Own technical discovery and Proofs of Concept for partner-sourced opportunities to drive pipeline growth.
Build the first Go-to-Market enablement function from scratch, designing learning paths and onboarding for technical field roles. Partner with product and engineering to translate complex infrastructure technology into repeatable training programs for sellers and engineers.
Lead end-to-end customer onboarding and manage the long-term success and adoption of the vCluster platform for enterprise clients. Drive renewals and expansion opportunities by translating technical adoption into measurable business outcomes and ROI.
The CFO will architect the company's financial infrastructure, owning end-to-end financial strategy, FP&A, and board reporting. They will lead fundraising efforts, manage accounting compliance, and partner with executive leadership to drive capital-efficient growth.
The Enterprise Account Executive is responsible for managing a dedicated territory to identify and close large-scale agreements with leading organizations. This includes managing the full sales lifecycle and building consensus across technical champions and executive buyers.
Serve as a core architect for the vCluster Platform, focusing on Kubernetes internals and high-performance Go development. Take end-to-end ownership of feature development from technical design to release while contributing to open-source projects.
Build and execute targeted account campaigns to drive pipeline from platform engineers and infrastructure leaders. Manage paid channels, digital programs, and reporting infrastructure to prove channel efficiency and revenue contribution.
The role involves rapid prototyping and architectural research to shape the future of a Kubernetes virtualization platform. The engineer will collaborate directly with the CTO to solve high-level problems and integrate new technologies into the stack.
Lead the technical execution and architecture of vNode, focusing on container runtime isolation and Kubernetes kubelet integration. Drive technical design reviews, mentor engineers, and represent the company in upstream open-source communities.
Lead the technical strategy and 'Technical Win' for complex enterprise deals by designing tailored architectural narratives and Business Value Assessments. Act as a bridge between customers and the product team to influence the roadmap based on field observations.
Lead end-to-end technical deployments of GPU infrastructure for neocloud and AI Factory customers from bare metal to production. Collaborate with Engineering and Product teams to create reusable deployment playbooks and provide field feedback for the product roadmap.
Architect and develop the vCluster platform by working deeply with Kubernetes internals and writing high-performance Go code. Take end-to-end ownership of feature development from technical design to release while contributing to open-source projects.
