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LOD Technologies

Sales Development Representative - AI Compute

Sales Development RepresentativeConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • The candidate must have 1 to 3 years of experience in sales development, business development, solutions, or a customer-facing technical role.
  • The candidate should have a background in business, computer science, engineering, or a related field.
  • The candidate must have working knowledge of AI compute, including training and inference workloads, GPU selection, token-based API pricing, and how buyers evaluate GPU cloud providers.
  • The candidate must have strong written and verbal communication skills.
  • The candidate must be comfortable networking in person and representing the company at events.
  • The candidate must be self-directed and able to manage their own pipeline in a remote environment.
  • The candidate must be based in the San Francisco Bay Area and authorized to work in the United States.

Responsibilities

  • Build and manage a target account list across AI-native startups, inference-heavy SaaS companies, enterprises scaling AI, model labs, and training and fine-tuning teams.
  • Run personalized, multi-channel outbound across email, LinkedIn, phone, and referrals.
  • Qualify opportunities on workload type, GPU requirements, token volume, latency and region, timeline, contract term, and budget.
  • Represent LōD at Bay Area AI and infrastructure events and convert event conversations into meetings.
  • Monitor market signals such as funding rounds, hiring activity, and capacity constraints to prioritize outreach.
  • Hand off qualified opportunities to the deal team and support them through close.
  • Maintain accurate customer relationship management records and share buyer feedback with product and leadership.
  • Travel regularly within the Bay Area and occasionally to United States conferences.

Desired Qualifications

  • Experience at a GPU cloud, neocloud, inference provider, or model API company.
  • Familiarity with current GPU generations, including H100, H200, B200, and B300.
  • Understanding of GPU cloud commercial models: on-demand, reserved, dedicated clusters, and serverless inference.
  • An established network in the Bay Area AI ecosystem.
  • Hands-on experience with model APIs, inference platforms, or cloud GPU instances.
  • Proficiency with HubSpot, Apollo, LinkedIn Sales Navigator, or similar tools.

About the Company

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