Procurement Lead

present of AI; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

present of AI is seeking a Senior leader to own US capacity sourcing for a GPU cloud in San Francisco. You will identify data center, power, hardware and financing partners, negotiate terms and oversee delivery and contract execution after signing.

The role requires hands-on deal experience in data centers, colocation, hardware or infrastructure finance and the ability to build a team from the ground up. The ideal candidate will convert technical needs into commercial terms, maintain diligence,

Qualifications

• Hands-on deal work in data centers, colocation, hardware or infrastructure finance.
• Ability to translate technical needs into commercial terms.
• Comfortable building a team from scratch.

Responsibilities

• Own US capacity sourcing for a GPU cloud in San Francisco.
• Identify, negotiate and manage data center, power, hardware and financing partners.
• Deliver contracts and manage delivery after signing; lead deal execution.

Skills

Deal negotiation

Capacity sourcing

Data center know‑how

Contract management

Team building

Tools

Claude

Job description

Finance & Legal · San Francisco · FullTime · Senior level

This role owns US capacity sourcing for a GPU cloud: finding data center, power, hardware and financing partners, checking them carefully, negotiating the deals and then managing delivery and contracts after signing. A strong candidate has years of hands on deal work in data centers, colocation, hardware or infrastructure finance, can turn technical needs into commercial terms, and is comfortable building a team from scratch. Diligence instincts and a working map of the value chain from power to capital matter more than sales polish.

How it fits the AI era

AI demand is what drives the capacity hunt here, so the work is shaped by how fast compute needs grow and how scarce power, space and hardware are. Judgement about which partners are reliable, how to structure financing and how to verify delivery claims stays human and central. Tools can speed up modeling and diligence, but the deal calls and relationship building remain the core.

How it builds AI experience

The posting names AI native as a plus, pointing to tools like Claude for scenario modeling and faster diligence. Someone in this role would build practical skill at using AI to compare quotes, model unit economics and screen counterparties, while keeping the final judgement on risk and terms. That experience sits well against a company selling GPU capacity to frontier labs and research institutions.

Worth showing

• Infrastructure finance fluency
• GPU systems knowledge

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 VESSL AI

Unified MLOps and GPU cluster orchestration platform for training and deploying foundation models across hybrid cloud infrastructure, per the company.