Head of Infrastructure Partnerships

About the Role PolarGrid is building the infrastructure layer for real-time AI inference. We're looking for a Head of Infrastructure Partnerships to own our relationships with OEMs, bare metal providers, and AI marketplaces like OpenRouter. This is a hybrid technical/commercial role. You'll be negotiating hardware specs and pricing one day, configuring inference marketplace listings the next. You'll be one of the first people shaping how PolarGrid sources compute and brings capacity to market. What You'll Do •⁠ ⁠Lead negotiations with OEMs and bare metal providers on pricing, SLAs, volume commitments, and specs •⁠ ⁠Own our seller/provider presence on inference marketplaces •⁠ ⁠Translate hardware capabilities into commercial offerings: pricing models, throughput guarantees, packaging •⁠ ⁠Evaluate bare metal vs. colocation tradeoffs and drive procurement decisions •⁠ ⁠Build and manage a pipeline of infrastructure partnerships that scale with our compute needs •⁠ ⁠Work closely with engineering to make sure partner specs match what we can actually deliver What We're Looking For •⁠ ⁠Enough GPU/server hardware knowledge to negotiate intelligently (B300s, GB300s, networking, interconnects) •⁠ ⁠Experience negotiating cloud or hardware contracts, OEM pricing, SLAs, volume deals •⁠ ⁠Familiarity with the inference stack: vLLM, batching, throughput and latency tradeoffs •⁠ ⁠Comfortable reading and redlining vendor agreements •⁠ ⁠Strong grasp of inference unit economics: cost per token, utilization rates, margin •⁠ ⁠Self-directed, you don't need a playbook, you'll write one Bonus Points •⁠ ⁠Existing relationships with bare metal providers •⁠ ⁠Has set up a provider account on an AI marketplace before •⁠ ⁠Startup or early-stage company experience Why PolarGrid We're a small team moving fast on a big problem. This isn't a supporting role inside a large partnerships org. You'll have real ownership over a critical part of the business.

Lead negotiations with OEMs and bare metal providers to source compute capacity and manage pricing and SLAs. Own the company's presence on AI inference marketplaces and translate hardware capabilities into commercial offerings.

Requires deep knowledge of GPU/server hardware and experience negotiating complex cloud or hardware contracts. Candidates should be familiar with the inference stack and possess a strong grasp of inference unit economics.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Infrastructure Partnerships
• Vendor Negotiation
• GPU Hardware Knowledge
• Cloud Contract Management
• Inference Stack
• Unit Economics
• Procurement
• SLA Negotiation
• Bare Metal Provisioning
• Commercial Strategy

• Management & Leadership
• Technology
• Engineering
• Sales
• Software

Expérience minimale

5+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Canada

Mode de candidature

La candidature directe est offerte