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Runpod
Runpod
51 – 200 Darbuotojai
B2BDirbtinis intelektasSaaS
Runpod yra dirbtinio intelekto ir SaaS įmonė, teikianti pagal poreikį naudojamus GPU skaičiavimo išteklius ir valdomą infrastruktūrą dirbtinio intelekto programoms kurti bei diegti. Jos platforma apima GPU „Pod“ išteklius 31 regione, be serverių veikiančius galinius taškus išvadoms atlikti, kelių mazgų klasterius paskirstytajam mokymui ir įrankius atvirojo kodo modeliams bei šablonams diegti. Runpod padeda dirbtinio intelekto kūrėjams ir įmonių komandoms visame procese – nuo eksperimentavimo iki gamybinio naudojimo – siūlydama automatinį mastelio keitimą, platų GPU pasirinkimą ir infrastruktūrą, pritaikytą greitam darbo krūvių paleidimui.
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Finance Manager, Infrastructure Capacity

Lead financial planning for GPU fleet capacity, utilization, infrastructure investment, and cash needs. Your analysis will help Runpod’s AI developer cloud align capacity decisions with revenue growth.

USJungtinės Valstijos
140 000 $ – 180 000 $ / metai
NuotolinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųFinansinis planavimas ir analizė
DebesijaNode.jsSQL

Aprašymas

  • Track available capacity across GPU types and data centers.
  • Maintain the company’s authoritative view of available, sold, and planned capacity.
  • Coordinate with Sales and Infrastructure to fill upcoming capacity tranches.
  • Track fleet utilization and address underperforming SKUs, data centers, and node groups.
  • Assess GPU ownership options, including revenue sharing, leasing, and direct purchase.
  • Forecast cash needs and manage the capacity capital expenditure plan.
  • Estimate how deployment timing affects revenue and quantify the cost of delays.
  • Assess and monitor investments in non-GPU infrastructure, including storage and CPU capacity.
  • Develop fleet unit economics, including contribution margin by GPU type, data center, and host.
  • Set pricing floors and return thresholds for capacity decisions.
  • Support commercial negotiations with hosts and data center partners.
  • Model term sheets, revenue-sharing arrangements, and lease economics.
  • Analyze scenarios and risks across the supply book.
  • Manage capacity reporting dashboards and analyze variances after commitments.
  • Report to the Director of Finance and work with Infrastructure, Data Center Operations, and Sales.

Reikalavimai

  • At least four years of experience in finance, FP&A, corporate development, or a related analytical role.
  • Strong grounding in financial modeling and forecasting.
  • Advanced Excel or Google Sheets modeling skills, including capital expenditure, cash flow, and return analysis such as NPV, IRR, and payback.
  • Comfort working with large operational datasets and business intelligence tools.
  • Ability to take ambiguous initiatives through to completion with little supervision.
  • Strong negotiation and communication skills, including translating data into clear recommendations for business stakeholders.
  • Successful completion of a background check.
  • Experience at a high-growth startup or venture-backed technology company is preferred.
  • Experience evaluating capital-intensive investments is preferred.
  • Experience with lease-versus-buy analysis, equipment financing, or revenue-sharing structures is preferred.
  • Experience in capacity, supply, or fleet planning is preferred.
  • SQL skills or hands-on experience querying large operational datasets is preferred.
  • Working knowledge of US GAAP, including lease accounting under ASC 842 and fixed assets, is preferred.
  • Experience in AI infrastructure, cloud, or data centers is preferred.
  • Must be eligible to work in the United States; Runpod cannot currently sponsor employment visas.

Privalumai

  • Meaningful equity through stock options offered to every team member.
  • Generous medical, dental, and vision coverage.
  • Flexible paid time off.
  • Remote-first work environment.
  • $1,200 stipend for home office and equipment.
  • A passionate team working on AI infrastructure, with opportunities to learn and take ownership.

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