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SkyPilot

Multi-cloud AI compute orchestration platform

Account Executive

Account ExecutiveUpdated on Nov 10
Full-time

About the Job

Requirements

  • A track record of closing net-new business, ideally selling technical infrastructure or developer and data platforms to technical buyers.
  • Ability to carry a sales quota without substantial organizational support and build a sales motion from the ground up.
  • Fluency in conversations with engineers and technical leaders, including the ability to discuss infrastructure credibly.
  • Comfort co-owning the sales motion with founders and bringing field feedback to the product team.

Responsibilities

  • Own the full sales cycle by prospecting, qualifying, running technical evaluations alongside Forward Deployed Engineers, and closing net-new business.
  • Land and expand accounts among AI teams, foundation labs, and enterprises with technical buyers selecting infrastructure for important workloads.
  • Source pipeline, build sales presentations and processes, and manage each deal from first contact through signature.
  • Convert successful sales into a repeatable motion by developing messaging, qualification practices, and pricing feedback for the growing go-to-market team.

Desired Qualifications

  • Experience selling compute, GPUs, or infrastructure to frontier AI teams or large GPU-consuming organizations.

About the Company

SkyPilot

Multi-cloud AI compute orchestration platform

SkyPilot provides a single control layer to manage AI compute across many clouds, clusters, and hardware. Teams can define and launch AI workloads with infrastructure as code using one YAML file that targets 20+ cloud providers, Kubernetes, and on‑prem systems, with SkyPilot acting as a neutral broker to route workloads to the most cost‑effective or available resources, including spot instances and automatic failover. The open‑source SkyPilot has millions of downloads and is used by Shopify, Nubank, Abridge, and Hippocratic AI; the enterprise SkyPilot Platform adds GPU health monitoring, automated remediation, multi‑team quotas, SSO, and SOC 2. Its goal is to reduce GPU fragmentation and vendor lock‑in while boosting utilization, so AI teams can focus on building models rather than managing infrastructure.

Company size
11-50
Company stage
Seed
Total funding
$20M
Headquarters
San Francisco, CA
Founded
2024

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