Compute Partnerships Manager

present of AI; New York (NY); On-site; USD 90,000 - 150,000; Full time

Job summary

Beam is seeking a proactive supplier relations professional to secure GPU capacity and shepherd deals from first contact to live hardware. You will sign up suppliers, track proposals, and coordinate contracts, drawing on a practical network among datacenter and GPU operators.

Clear writing, firm negotiation, and self-direction matter as you juggle many contracts and trackers at once. Experience in hardware sourcing or deal desks is valuable, but a genuine network and disciplined approach can

Qualifications

• Several years in partnership or deal-desk roles.
• Strong network among datacenter and GPU operators.
• Ability to manage multiple contracts and trackers.
• Clear writing and firm negotiation skills.

Responsibilities

• Identify and sign up suppliers with GPU capacity.
• Move deals from first contact to signed contracts.
• Draft supplier materials and coordinate negotiations.
• Track progress across multiple deals and SLAs.

Skills

Deal desk experience

Partnership development

GPU/datacenter network

Negotiation & writing

Job description

This role is about finding and signing up suppliers who can provide GPU capacity, then keeping every deal moving from first contact to live hardware. A strong candidate brings a few years of partnership or deal desk work, a real network among datacenter and GPU operators, and the discipline to juggle many contracts and trackers at once. Clear writing, firm negotiation, and self direction matter more than deep technical background.

How it fits the AI era

AI companies need GPU capacity fast, and the big providers favor larger deals, so the work of matching scattered supply to demand stays human and relationship driven. AI tools can help draft supplier materials, track specs, and organize market research, but first calls, negotiation, and chasing details to signature still depend on people. The role sits close to the hardware side of AI, where knowing what customers actually need from a configuration is the core skill.

How it builds AI experience

Working here means learning how GPU clusters are specified and sold, including the network choices customers care about and how supply is sourced across datacenters and OEMs. That grounding in AI infrastructure is built on the job through supplier calls, spec checks, and deal work rather than prior AI titles. Exposure to AI workloads or GPU hardware helps, and reading spec sheets and bills of materials is a practical way to prepare.

Worth showing

• Datacenter operator network
• Clear writing and negotiation
• GPU and spec literacy

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Beam

Per the company, Beam operates a serverless cloud platform for running AI inference, sandboxes, and background workloads on on-demand GPUs.