Sales Development Representative – AI Compute

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🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $70k - $90k / year

⏰ Full Time

🟢 Junior

💵 Sales Development (SDR)

🚫👨‍🎓 No degree required

👻 Ghost score 0%

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LOD

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2015

☁️ SaaS

🔐 Security

SaaS • Security

LOD is a company that provides a web-based login interface related to Plesk, handling user authentication and cookie consent/management for a control panel. The text suggests LOD operates or integrates with web hosting/control-panel software to manage session access, cookie preferences, and basic user login flows, indicating a focus on web application functionality and user security.

📋 Description

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

🏖️ Benefits

• Equity • Event and travel budget • Health benefits • Dental benefits • Vision benefits • PTO • On-target earnings (OTE)

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