GPU & AI Infrastructure – Reserved Deal Desk Broker

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Pado

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2025

🤖 Artificial Intelligence

⚡ Energy

☁️ SaaS

Artificial Intelligence • Energy • SaaS

Pado is an AI-powered data center orchestration company that optimizes energy usage, load balancing, and operational resiliency for mission-critical facilities. Its proprietary platform ingests high-frequency energy and telemetry data, applies predictive AI forecasting to automate real-time power adjustments, and orchestrates complex loads to improve PUE, recover stranded power, and increase compute density and utilization—reducing costs while maintaining performance.

📋 Description

• Build and maintain a live supplier network across neoclouds, aggregators, marketplaces, and colocation-backed operators • Negotiate reserved capacity pricing, prepayment terms, and service levels across H100, H200, B200/B300, GB200/GB300, RTX PRO 6000 Blackwell, and AMD Instinct MI300X/MI355X • Source and qualify AI-native buyers across inference, foundation models, defense technology, robotics and simulation, biotech, and quantitative finance • Translate buyer workloads into capacity specifications suppliers can quote • Match workload requirements against available inventory, including interconnect, bare-metal access, region, term length, memory, and network profile • Run procurement cycles across engineering leaders, CFOs, founders, compliance officers, and board or investment stakeholders • Price to a target spread and own realized gross margin on each originated transaction • Negotiate prepayment and escrow mechanics, payment timing, SLA pass-through, non-circumvention terms, export controls, and cross-border deployment constraints • Work with PADO counsel to mirror upstream and downstream agreements • Assess offtaker creditworthiness, supplier delivery risk, and concentration risk • Maintain Salesforce hygiene and provide accurate executive forecasting • Track spot and reserved pricing by chip, region, and term, feeding market intelligence into the marketplace and product roadmap • Represent PADO at major trade shows and industry events

🎯 Requirements

• 3+ years of full-cycle enterprise sales in GPU or compute brokering, neocloud sales, data center capacity sales, or infrastructure and commodity trading • Existing relationships on the supply side, demand side, or both • Current knowledge of GPU spot and reserved pricing, chip generations, interconnect, bare-metal versus virtualized infrastructure, region and power cost, term length, and prepayment structure • Ability to qualify workloads without an engineer present • Understanding of ML training environments, foundation model infrastructure, AI infrastructure failure modes, multi-GPU sharding, NVLink, networking, and shared filesystems • Experience structuring one- to five-year commitments carrying 25–50% upfront capital, prepayment and escrow, SLA and service-credit regimes, and term-versus-price tradeoffs • Working knowledge of export controls, cross-border AI deployment, data residency, compute segregation, auditable GPU cost structures, and hardware-level isolation • Rigorous MEDDIC/MEDDPICC or equivalent qualification methodology • Ability to build account intelligence from live business signals, infrastructure decision triggers, and buyer-specific friction points • Proactive use of Salesforce, Clay, Apollo.io, Gong, and modern AI assistants • Self-motivated and comfortable in a high-growth startup environment • Bachelor’s degree in Business, Engineering, or a related technical field, or equivalent market experience • Independent Contractor (1099) engagement

🏖️ Benefits

• Competitive monthly retainer plus commission credited on realized gross margin and paid as PADO collects • Per-transaction caps apply • Backing and global scale of LG Electronics • Access to a live marketplace with real supplier inventory and demand pipeline • Opportunity to define the reserved deal desk playbook • Collaboration with experts in energy, AI, and data center operations • Remote work arrangement • Approximately 25% travel