Sales Development Representative - AI Compute

We are hiring a Sales Development Representative to build pipeline with AI compute buyers, including companies consuming tokens through model APIs and teams deploying their own GPUs. You will be the first point of contact for these accounts. You will generate and qualify opportunities through outbound and in-person events, then partner with the deal team through close.

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 CRM records and share buyer feedback with product and leadership.
• Travel regularly within the Bay Area and occasionally to US conferences.

Requirements

• 1 to 3 years of experience in sales development, business development, solutions, or a customer-facing technical role.
• Background in business, computer science, engineering, or a related field.
• Working knowledge of AI compute, including training and inference workloads, GPU selection, token-based API pricing, and how buyers evaluate GPU cloud providers.
• Strong written and verbal communication skills.
• Comfortable networking in person and representing the company at events.
• Self-directed and able to manage your own pipeline in a remote environment.
• Based in the San Francisco Bay Area and authorized to work in the US.

Preferred 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.