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Runpod
Runpod
51 – 200 Zaposleni
B2BSaaSUmetna inteligenca
Runpod je podjetje na področju umetne inteligence in SaaS, ki zagotavlja računalništvo z grafičnimi procesorji GPU na zahtevo ter upravljano infrastrukturo za razvoj in uvajanje aplikacij umetne inteligence. Njegova platforma združuje GPU-pode v 31 regijah, brezstrežniške končne točke za izvajanje modelov, gruče z več vozlišči za porazdeljeno učenje ter orodja za uvajanje odprtokodnih modelov in predlog. Runpod podpira razvijalce umetne inteligence in poslovne ekipe v celotnem procesu od eksperimentiranja do produkcije, z možnostmi samodejnega prilagajanja zmogljivosti, širokim naborom grafičnih procesorjev GPU in infrastrukturo, zasnovano za hiter zagon delovnih obremenitev.
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Delovna mesta v podjetju

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.

USZdružene države Amerike
140.000 $ – 180.000 $ / leto
Na daljavoPolni delovni časSrednja ravenSeniorZahtevani Jezik: angleščinaFinančno načrtovanje in analiza
Node.jsOblakSQL

Opis

  • 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.

Zahteve

  • 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.

Ugodnosti

  • 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.

Sorodna delovna mesta