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Central Computers Sub LLC is building a commercial pipeline around high-ticket AI servers, GPU compute, and enterprise HPC systems. CCSL handles supplier-side procurement and compliance internally; this role is focused strictly on buyer-side deal origination. The target product class and buyer profile sit in mid-six to low-eight-figure transaction territory depending on configuration, volume, and project scope. I am looking for an independent B2B Deal Originator. Not a list scraper. Not a generic lead-generation agency. Not someone who needs a target list handed to them. You know your market. You know how to read the signals. Your objective is singular: originate real commercial opportunities and route the buyer path to CCSL for qualification, compliance, procurement review, and close. Project Structure & Compliance The initial $10 fixed-price milestone is for paid qualification and alignment through the platform. It does not represent the long-term commercial compensation structure. The commercial structure begins under the Master Deal Origination, Commission & Non-Circumvention Agreement, subject to platform requirements. Phase 1 — High-Commission Performance Origination Standard commission: 40% of CCSL realized net profit on any approved, registered, self-originated transaction that closes. Accelerator: up to 50% of CCSL realized net profit for strategic opportunities or proven originators. Commission is earned only on closed, funded, compliant transactions. Payout is executed through the approved payment channel within 24 hours of the commission vesting event, subject to platform/payment availability. Phase 2 — Enterprise Retainer Track After the second closed, funded, self-originated transaction, Phase 2 is triggered: a monthly retainer to stabilize baseline operations while maintaining commission participation on ongoing deals. This is not a verbal “trust me” role. The economics are documented before actual origination work begins. Application Protocol Start your proposal with the word ORIGINATE. Answer these 4 questions: 1. 3 to 5 types of companies, buyer categories, or specific niches you believe currently have realistic demand for enterprise AI/GPU infrastructure. Do not list actual company names. 2. The specific demand signal you look for in each. 3. Why each is not just a generic AI/software company. 4. The likely decision-maker or department you would approach first, and why. Do not send a generic agency pitch. Do not send a list of 100 scraped emails. Do not submit specific company names, lead lists, scraped contacts, or unpaid market research in your proposal. Show me you know how to read the market. If there is alignment, we will proceed through the paid qualification milestone and then move toward the MCA structure.
Project ID: 40535336
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Active 7 days ago
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4 freelancers are bidding on average $12 USD for this job

I can help develop a targeted B2B deal origination strategy focused on high-ticket AI servers and GPU infrastructure. My experience includes working with tech companies to build scalable sales pipelines and close enterprise deals in emerging tech sectors. I’d leverage a combination of market research, direct outreach, and relationship building to identify qualified leads and create a steady flow of opportunities for Central Computers Sub LLC. Are you locked into a specific CRM or sales platform, or flexible on tech choices?
$12.50 USD in 7 days
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Hi, I identify real demand for AI/GPU infrastructure in: AI model builders, SaaS with embedded AI, enterprise private AI teams, simulation/engineering firms, and AI media companies. Signals include rising GPU costs, hiring MLOps teams, and infrastructure scaling. These are not generic software firms because compute directly drives their core product, revenue, or compliance needs. Key buyers are CTOs, Heads of ML/Platform, or Engineering Directors responsible for infrastructure and scaling decisions.
$10 USD in 3 days
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ORIGINATE Hi, you need buyer-side origination for enterprise GPU and AI infrastructure where demand is driven by compute capacity pressure rather than general AI interest; relevant niches include AI-first SaaS scaling inference workloads, regulated enterprises requiring on-prem deployment, research and simulation environments, and media or VFX pipelines under heavy rendering load; the demand signal is rising GPU burn rate, cloud cost ceilings being hit, or persistent backlog in training and compute queues. These are not generic AI software firms because their performance and revenue output depend directly on sustained compute throughput and infrastructure scaling decisions rather than feature iteration or simple API consumption. First point of contact would be Head of Infrastructure, Director of AI Engineering, or Procurement depending on organisational maturity because they own capacity planning and capital allocation for compute expansion. Best regards, Fizza Nadeem K
$10 USD in 3 days
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