Jobs at Hyperbolic

Own customer support tickets from initial response through resolution, maintaining SLA commitments and coordinating escalations. Troubleshoot Linux-based GPU clusters, access issues, storage, networking, containers, drivers, quotas, security groups, billing, and account problems. Gather logs, reproduce issues, execute and create runbooks, improve documentation, and communicate clearly under pressure. The role requires cross-time-zone collaboration and participation in an on-call rotation for critical incidents.

Own customer GPU cluster environments from provisioning and benchmarking through handoff and ongoing operations. Debug multinode NCCL performance, GPU hardware, networking fabric, drivers, containers, and schedulers. Coordinate provider escalations, manage monitoring and alerting, advise named customers, and automate recurring troubleshooting into tooling and runbooks. The role requires deep Linux and GPU cluster expertise, strong customer communication, and sound escalation judgment.

Supports the CEO by managing calendars, meetings, travel, investor engagements, communications, and administrative projects. Oversees San Francisco office operations, including vendors, supplies, meals, equipment, events, onboarding, purchases, invoices, and workspace organization. The role also coordinates with Mandarin-speaking partners through WeChat and helps establish scalable administrative systems as the startup grows.

Own full-cycle recruiting for engineering and technical roles across infrastructure, distributed systems, AI/ML, and GPU cloud. Responsibilities include intake meetings, sourcing passive candidates, technical screening, interview coordination, offer closing, ATS management, funnel reporting, and employer branding. The recruiter will partner with founders, engineering leaders, and the Head of Talent while helping build recruiting processes and support rapid company growth.

Lead Hyperbolic’s talent function during rapid growth from approximately 30 to 70–100 employees. Own full-cycle recruiting, define hiring priorities, personally source and close critical technical and business candidates, and build scalable recruiting systems, structured interviews, metrics, and pipeline visibility. Partner with founders and hiring managers on candidate strategy, leveling, and offers; manage recruiting resources; and strengthen the employer brand. The role requires extensive recruiting leadership, technical talent expertise, and hands-on execution.

Build Hyperbolic Labs’ data infrastructure from the ground up, owning the data warehouse, ingestion pipelines, data modeling, reliability, governance, monitoring, troubleshooting, and performance tuning. Partner with engineering and analytics teams to support growing products, data sources, BI, and reporting. The role requires deep PostgreSQL expertise, large-scale data experience, and independent ownership of production data systems.

Corporate Counsel will lead commercial and corporate legal matters for an AI infrastructure company. Responsibilities include negotiating cloud and customer MSAs, structuring strategic partnerships, advising on AI, privacy, and financial regulations, managing disputes and regulatory inquiries, supporting financings and governance, developing contract processes, and overseeing outside counsel and the legal budget.

Lead Hyperbolic Labs’ global marketing function, building the brand and communications strategy for its AI cloud, GPU marketplace, and inference services. Develop product positioning, messaging, and storytelling for technical and enterprise audiences; use quantitative metrics to improve acquisition and engagement; partner with engineering and product teams; and build, recruit, and lead the marketing organization. Manage ecosystem partnerships, community advocates, channel growth, and creative experimentation.

Build pricing and risk models for GPU compute markets, including spot and term rates, derivatives, hedges, options, and futures. Develop dynamic pricing from supply, demand, and inventory data; structure new financial products; analyze emerging market conditions; and communicate model outputs to finance, engineering, and commercial stakeholders. The role requires defining methodologies for an early, illiquid asset class and working with messy production data.

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.

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.

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.

The role involves benchmarking infrastructure performance, designing tests, debugging customer trials, and maintaining benchmarking infrastructure while ensuring clear documentation and communication.

The Head of Supply will build and scale GPU supply for Hyperbolic Labs, manage supplier relationships, and ensure supply meets customer demand.

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.

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.