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Lyceum

European sovereign GPU cloud for AI workloads

Strategic Finance Associate

Corporate Finance & FP&AConfirmed live in the last 24 hours
Full-timeBerlin, GermanyNo salary listedIn-person

About the Job

Requirements

  • Have 1–3 years of experience in investment banking, private equity, venture capital, corporate finance, or a high-growth startup finance team.
  • Have strong financial modelling skills in Excel or Sheets and use AI tools day to day.
  • Have strong attention to detail and the ability to synthesize complex information into clear narratives.
  • Be comfortable operating in ambiguity and defining problems before solving them.
  • Be fluent in English.
  • Have a genuine interest in infrastructure, cloud, or AI markets.

Responsibilities

  • Own recurring FP&A, including monthly reporting, budget tracking, variance analysis, and cash flow forecasting.
  • Build and maintain financial models for unit economics, scenario planning, and strategic decisions such as build versus lease, pricing, and capacity expansion.
  • Prepare investor updates, board decks, and KPI dashboards.
  • Handle ad-hoc finance and strategy projects, including grant applications, partnership economics, and contract analysis.

Desired Qualifications

  • German language skills are a strong plus.

About the Company

Lyceum

European sovereign GPU cloud for AI workloads

Lyceum builds a sovereign GPU cloud platform that makes high-performance computing for AI workload easy and local to Europe. It operates a software layer that abstracts infrastructure so users can deploy AI models with a single click from their IDE. The platform automates hardware selection, offers upfront transparent pricing, and schedules elastic workloads to prevent overprovisioning and reduce DevOps costs. Lyceum runs its own European data-center hardware, including a liquid-cooled facility in Paris, ensuring data sovereignty and residency for customers, with NVIDIA Blackwell B200 GPUs deployed early. This positions Lyceum as a European alternative to US-based hyperscalers. Its goal is to broaden access to powerful AI compute in Europe by expanding its engineering and commercial teams, securing hardware partnerships, and building more data centers to maintain control over performance, cost, and data governance.

Company size
11-50
Company stage
Seed
Total funding
$11.3M
Headquarters
Zurich, Switzerland
Founded
2025

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