Strategic Data Center Capacity Negotiator

Mistral

Paris

Hybrid

EUR 120,000 - 180,000

Full time

6 days ago
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Benefits offered by this job

Healthcare coverage
Relocation support
Wellness programs
Meal and transportation allowances

Job summary

Mistral is seeking a senior commercial professional to acquire data center capacity across Europe for training frontier LLMs and inference at scale. You will negotiate master services agreements, COs, and co-location/built-to-suit contracts with data center developers, structuring capacity sourcing based on workload needs.

Collaborating with science and infrastructure teams, you will assess sites for power, cooling, connectivity, and timelines, and close deals well before GPUs arrive, while

Qualifications

  • Negotiated data center contracts (MSAs, COs, or co-location/built-to-suit) in the data center or infrastructure sector.
  • Structured capacity sourcing decisions based on workload needs (training vs inference).
  • Translated technical requirements into commercial terms.
  • Experience working across multiple European jurisdictions and cross-border negotiations.

Responsibilities

  • Negotiate master services agreements, order forms, and co-location or built-to-suit contracts with data center developers across Europe.
  • Structure capacity sourcing decisions based on workload: training, inference, or hybrid.
  • Assess data center sites for power delivery, cooling, connectivity, and timelines.
  • Coordinate with science and infrastructure teams to align capacity plans with model roadmaps.
  • Manage relationships with existing data center partners including Éclairion and EcoDC.

Skills

Data center contracts
Capacity delivery
Commercial terms
Cross-border negotiation

Job description

Mistral is seeking a senior commercial professional to acquire data center capacity across Europe for training frontier LLMs and inference at scale. You will negotiate master services agreements, COs, and co-location/built-to-suit contracts with data center developers, structuring capacity sourcing based on workload needs.

Collaborating with science and infrastructure teams, you will assess sites for power, cooling, connectivity, and timelines, and close deals well before GPUs arrive, while

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