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VESSL AI

GPU cloud platform for AI workloads

Head of Sales

Account ExecutiveConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • 8 to 12 years of B2B enterprise sales experience in cloud infrastructure, GPU compute, or AI/ML infrastructure, with the ability to understand the offering and engage technical buyers credibly.
  • Experience closing large, complex deals with $5M+ total contract value, long sales cycles, multiple stakeholders, and custom commercial terms.
  • Experience scaling a sales team through a high-growth stage, including hiring and leading sellers, designing team structure, and personally carrying strategic accounts.
  • Experience with disciplined forecasting, pipeline reviews, deal-health signals, and accountability for the sales number.
  • Experience working cross-functionally with product, finance, and operations where sales and capacity planning are closely coupled.
  • Hands-on experience with customer relationship management and sales engagement tools such as Salesforce, Outreach, and Apollo; AI prospecting tools; and tools such as Claude Code.
  • Ability to work on site in San Francisco.

Responsibilities

  • Carry and close a personal portfolio of strategic accounts, managing multi-stakeholder sales cycles from discovery through signature.
  • Own the US revenue forecast, including weekly and monthly pipeline cadence and identifying deal health and slippage signals.
  • Anchor the monthly and quarterly business review rhythm with finance and accounting.
  • Hire, coach, and retain enterprise account executives and sales support functions, and define market coverage across physical AI, frontier and AI-native labs, academia, and enterprise.
  • Set team operating standards, performance expectations, coaching rhythm, and development paths.
  • Own commercial deal structures, from short-term on-demand credits through multi-year reserved capacity commitments.
  • Run a deal desk process with finance and legal to move complex enterprise quotes quickly while protecting margin, and shape sales incentive design as the team grows.
  • Translate customer demand signals into GPU capacity allocation and prioritization decisions with infrastructure and capacity planning teams.
  • Bring demand-side evidence into capacity investment and supply planning decisions with the Head of US GTM and product.

About the Company

VESSL AI

GPU cloud platform for AI workloads

What VESSL AI does: It runs VESSL Cloud, a GPU cloud platform built for AI workloads. It gives teams on-demand access to high-end GPUs (A100, H100, B200, B300, GB200) to run activities like LLM fine-tuning, large-scale model training, and AI inference. How it works: Users launch GPU instances in VESSL Cloud from VESSL’s own data center infrastructure, paying per minute for usage, and using the platform to accelerate AI development without managing physical hardware. How it stands out: It operates its own data center and offers per-minute billing, delivering up to 80% cost savings versus AWS and GCP, focusing specifically on AI workloads rather than general-purpose cloud services. What the goal is: To help AI teams move quickly from idea to production by removing infrastructure overhead and providing scalable, affordable GPU resources for AI work.

Company size
51-200
Company stage
Series A
Total funding
$16.6M
Headquarters
San Francisco, CA
Founded
2020

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