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Runpod

Rents cloud GPUs for building AI applications

Account Executive

Account ExecutiveUpdated on Nov 13
Full-time$130k - $300k

About the Job

Requirements

  • At least 8 years of total sales experience, including at least 4 years in direct enterprise technical sales in SaaS, cloud, or infrastructure.
  • A proven track record of hunting and closing complex deals with 6–7 figure contracts.
  • Strong technical acumen in cloud, infrastructure, artificial intelligence and machine learning, GPU, or compute.
  • Ability to navigate multiple technical and business stakeholders in a sale.
  • Familiarity with sales frameworks, value-based selling, and enterprise procurement.
  • Business-level fluency in Japanese and English, with the ability to run a full sales cycle from discovery through negotiation and close.
  • Successful completion of a background check.

Responsibilities

  • Prospect, qualify, and acquire new enterprise and strategic customers, including AI startups, research institutions, and machine-learning teams in large organizations, through outbound outreach and inbound lead engagement.
  • Drive full-cycle sales from lead generation and discovery through proposal, negotiation, and close.
  • Partner with forward-deployed engineers, product, and engineering to design tailored solutions.
  • Build and manage a pipeline of strategic deals.
  • Present to and communicate effectively with technical stakeholders and executive leaders, including developers, engineers, and C-suite decision-makers.
  • Negotiate commercial terms, service-level agreements, pricing, and contract structures.
  • Collaborate with customer success and account management to ensure a smooth handoff after closing.
  • Provide market feedback and competitor intelligence, and inform the product roadmap.
  • Travel periodically to visit top customers or represent Runpod at key industry events.
  • Maintain accurate sales forecasts and customer relationship management records.
  • Meet quarterly and annual new-business quotas.

Desired Qualifications

  • An existing network or relationships in AI, machine learning, or cloud sectors.

About the Company

Runpod

Rents cloud GPUs for building AI applications

Runpod rents cloud computing power to developers and businesses building AI applications, with GPUs for model training, fine-tuning, and running models for users. Its Pods give teams a dedicated environment to run their own containers, while Serverless turns code into endpoints that adjust capacity to incoming requests. Clusters link multiple GPUs for larger training jobs, and the platform includes tools to deploy and monitor workloads through a web console or software interfaces. Customers pay for metered compute time and storage, with options for reserved resources and enterprise support. Runpod was founded in 2022 and is headquartered in San Francisco, California.

Company size
51-200
Company stage
Growth Equity (Venture Capital)
Total funding
$122.3M
Headquarters
San Francisco, CA
Founded
2022

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