Enterprise Account Executive

As vCluster Labs’
Enterprise Account Executive
, you aren’t just selling software; we are defining a category. In this role, you will be the CEO of your territory, tasked with identifying, navigating, and closing large-scale agreements with the world's leading organizations. You will be selling a technical platform that solves critical problems for Engineering, Dev Ops, Security, and Data leaders.

As an Enterprise Account Executive, your role will include:

• Strategic Territory Management: Own a dedicated patch of Enterprise accounts. Build a comprehensive territory plan to uncover new opportunities and expand existing footprints.

• Full-Cycle Execution: Manage the entire sales lifecycle from prospecting and discovery to negotiation and close. You are a "Hunter" who enjoys the thrill of the chase but executes with the precision of a consultant.

• Multi-Threaded Selling: Navigate complex organizations to build consensus across technical champions (Dev/Ops/Security practitioners) and executive economic buyers (CTO, CIO, CISO, CFO).

• Value Engineering: Move beyond feature/function selling. articulate a clear "Business Value Assessment" (BVA) that ties our technical capabilities to the customer's top-line revenue or bottom-line efficiency.

• Methodical Forecasting: Maintain hygiene in Salesforce/CRM. Utilize MEDDPICC or Command of the Message methodologies to provide accurate weekly, monthly, and quarterly forecasts.

This role could be a fit for you if you bring:

• Experience: 7+ years of quota-carrying field sales experience, with at least 3+ years selling specifically to the Enterprise ($200k - $1M+ ACV).

• Technical Aptitude: You don’t need to code, but you must be "technically fluent." You can hold your ground in a conversation with a VP of Engineering or a Chief Architect about their tech stack, workflow, and pain points.

• Methodology Master: You live and breathe sales methodology. You can clearly explain how you use MEDDPICC/MEDDIC to qualify deals and de-risk your pipeline.

• Consistency: A documented history of performing in the top 10-20% of your cohort. We want to see President’s Club awards and consistent quota over-achievement.

• Start-Up Grit: Experience working in a high-growth environment (Series B to IPO phase). You are comfortable with ambiguity and are willing to build the playbook, not just read it.

Bonus points for:

• Domain Expertise: A proven track record of selling complex SaaS/PaaS solutions. Experience in Dev Ops, Infrastructure, Data, Observability, or Cybersecurity is highly preferred.

• Startup
  
  Experience:
  
  You have been at an early-stage organization where you control your own desk. You function autonomously and strive towards building something great.

• Partnership
  
  Experience:
  
  Successful track record of building equitable relationships with new partners.

We are a venture-backed tech startup and the company pioneering Kubernetes virtualization for the AI era. We raised +$30M from top-tier VCs such as Khosla Ventures (first investor in OpenAI, Git Lab, Stripe, Doordash) and are in a hyper‑growth phase looking for motivated people to complement our team. Our headquarters are in San Francisco (Salesforce Tower), but our team is distributed around the globe and we have a remote‑first work culture.

We are the leading platform for operating GPU infrastructure, enabling AI Cloud providers to deliver a hyperscaler‑like experience to their customers and AI factories that need to build that same experience for their internal teams. Our platform delivers the full operational stack operators need to run their GPU data centers — managed Kubernetes, fast isolated tenant provisioning, and automated node provisioning and lifecycle management — enabling them to accelerate time to value, reduce operational burden, and maximize the ROI of every GPU.

We're the company behind vCluster, an open‑source technology for virtualizing Kubernetes (10k+ Git Hub stars, 40M+ virtual clusters created since 2021). Open source is part of our DNA. At Kube Con North America 2025, we launched our Infrastructure Tenancy Platform for AI — a Kubernetes‑native framework purpose‑built for running AI, ML, and GPU‑intensive workloads…