Hyperbolic

HQ
San Francisco
30 Total Employees

Jobs at Hyperbolic

Let Your Resume Do The Work
Upload your resume to be matched with jobs you're a great fit for.

Recently posted jobs

2 Days AgoSaved
Remote
USA
Artificial Intelligence • Information Technology
Own the operational workflow supporting Hyperbolic’s go-to-market team, including contract tracking, quote and order form preparation, CRM data quality, customer follow-up, support routing, invoicing coordination, and meeting preparation. The role suits an organized, proactive professional with 0–3 years of experience who is comfortable learning CRM systems, using AI tools to automate repetitive work, and ensuring customer and deal processes move through completion.
8 Days AgoSaved
Remote
USA
Artificial Intelligence • Information Technology
Own customer infrastructure support tickets from initial response through resolution while meeting SLAs. Diagnose Linux-based GPU cluster issues, troubleshoot access, storage, networking, containers, drivers, billing, and account problems, and coordinate escalations. Execute and improve runbooks, document solutions, maintain customer and internal documentation, communicate clearly under pressure, and participate in on-call coverage across time zones.
8 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Information Technology
Lead the origination and structuring of debt capital facilities to fund AI compute capacity, including bank revolvers, private credit, receivables-backed structures, SPV financings, and equipment financing. Own lender relationships, capital raises, financial modeling, documentation negotiations, covenant structures, post-close reporting, and coordination between debt, equity, vendor, and customer contracts. Partner directly with the CEO and Head of Finance to develop financeable capital strategies in an emerging asset class.
Artificial Intelligence • Information Technology
The role involves benchmarking infrastructure performance, designing tests, debugging customer trials, and maintaining benchmarking infrastructure while ensuring clear documentation and communication.
13 Days AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Information Technology
Own day-to-day operations for GPU supplier network: manage contracts, reconcile invoices/payments, run supplier check-ins, track obligations and risks, build scalable processes, and coordinate with Legal, Finance, Engineering, and Product.
22 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Information Technology
Establish and own the data analytics foundation for a GPU marketplace: define metrics, build data pipelines and dashboards, ensure data correctness, and deliver actionable insights to leadership.
24 Days AgoSaved
Remote
USA
Artificial Intelligence • Information Technology
The role involves creating insightful technical content on AI and GPU topics, engaging with researchers, and validating technical claims. Requires independent research and technical writing skills.
28 Days AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Information Technology
The Head of Supply will build and scale GPU supply for Hyperbolic Labs, manage supplier relationships, and ensure supply meets customer demand.
One Month AgoSaved
Remote
USA
Artificial Intelligence • Information Technology
Source and negotiate GPU capacity supply agreements, manage supplier pipelines from outreach to signed contracts, conduct commercial diligence, align supply with demand alongside Sales/Finance, coordinate with Legal/Operations, track market pricing and capacity trends, represent the company at industry events, and develop scalable supply processes.
One Month AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Information Technology
The Head of Operations will scale business operations, oversee revenue and customer operations, and implement systems for growth as Hyperbolic Labs expands its workforce from 10 to 100+ employees.
One Month AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Information Technology
Lead and scale the AI cloud infrastructure: design GPU orchestration, multi-region cloud, networking, storage, and reliability. Build SRE and Platform teams, define SLOs/SLIs, automate operations, and remain hands-on in architecture, debugging, and implementation to support AI training and inference at scale.