GPU & AI Infrastructure – Reserved Deal Desk Broker

Vaga não está no LinkedIn

🕒 5 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

⏳ Contrato/Temporário

🟡 Pleno

🟠 Sênior

🤖 Inteligência Artificial

👻 Score fantasma 15%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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SiteLinkedInTodas as Vagas

1 - 10 funcionários

Fundada em 2025

🤖 Inteligência Artificial

⚡ Energia

☁️ SaaS

Artificial Intelligence • Energy • SaaS

A Pado é uma empresa de orquestração de data centers baseada em IA que otimiza o uso de energia, balanceamento de carga e resiliência operacional para instalações de missão crítica. Sua plataforma proprietária integra dados energéticos e de telemetria de alta frequência, aplica previsões preditivas de IA para automatizar ajustes de energia em tempo real e orquestra cargas complexas para melhorar o PUE, recuperar energia subutilizada e aumentar a densidade e utilização de computação—reduzindo custos enquanto mantém o desempenho.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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