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Posted Jun 4Paris
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Pre-Sales Solutions Architect - AI & GPU Infrastructure

LeadOn-site (Paris)€100,000 – €135,000 / yr
Required Skills
Next.jsKubernetes
Job Description
OUR STORY:
 
Join Scaleway and shape the sovereign cloud of tomorrow !
Since 1999, we have been designing secure, sustainable infrastructures aimed at supporting the most ambitious companies.
 
Historically known for our dedicated servers (Dedibox), we made a strategic shift to cloud computing in 2015. Staying true to our principles of simplicity, flexibility, and technical excellence, we have become one of the leading players in Europe in the sector.
 
With the rise of artificial intelligence, we have strengthened our commitment, supported by the Iliad Group, which is investing €3 billion to develop a serious, sovereign AI alternative to American and Asian giants.
 
Every day, thanks to our fast-growing portfolio of cloud and AI products (bare metal, containerization, serverless, AI, etc.), Scaleway proudly serves thousands of customer across the private and public sector, from corporations like France Télévisions or Hachette Livre, to fast-growing startups like Photoroom and Biolevate, to institutions like the City of Copenhagen.
 
Our offices are located in Paris, Lille, Toulouse, Rennes, Rouen, Bordeaux and Lyon.
 

WHY WE NEED YOU?

As our GPU Cloud business continues to scale, we are strengthening our AI & GPU Infrastructure capabilities to support a growing portfolio of large-scale GPU clusters and demanding AI workloads.

Your mission will be to act as the technical partner for our customers and prospects during the early stages of their projects, helping them translate complex AI and infrastructure requirements into scalable, high-performance GPU solutions.

You will combine deep technical expertise with a strong customer-facing mindset to qualify requirements, design tailored architectures, remove technical blockers, and accelerate the sales cycle for some of our most strategic GPU Cloud opportunities.


YOUR FUTURE TEAM

We work in a collaborative and international environment where the diversity of Scalers, combined with a strong culture of knowledge sharing, helps us bring ambitious projects to life.

You will join our GPU Cloud organization and work closely with the Head of GTM GPU, supporting strategic opportunities across Europe and internationally.

The role sits at the intersection of customers, Sales, Engineering, Hardware, Product, Network, and Operations, giving you direct exposure to some of our most complex AI and HPC infrastructure projects.

You will contribute to the design of custom GPU solutions for customers running workloads such as AI training, inference, fine-tuning, RAG, and large-scale distributed computing, while supporting Scaleway's ambition to build a leading sovereign AI infrastructure platform in Europe.


YOUR DAILY ROUTINE

  • Prepare and actively participate in technical client presentations
  • Deeply understand and analyze clients' AI workloads (including training, fine-tuning, inference, agents, and RAG)
  • Qualify and translate client technical constraints (computational infrastructure, networking, data) into business value
  • Engage closely with technical contacts and C-level executives to build trust and long-term relationships
  • Design, plan, blueprint, and provision custom GPU clusters and distributed architectures
  • Organize and execute Proof of Concepts (POCs) to demonstrate technical viability
  • Partner internally across HPC, Product, Hardware, Network, and Sales teams to build bespoke infrastructures
  • Collaborate with sales teams to accelerate the closing process on large-scale deals
  • Analyze market trends and competitor offerings to contribute to the continuous improvement of our GPU Cluster product lines
  • Anticipate market needs and participate in defining future services along with their associated service level agreements (SLAs)


ABOUT YOU

HARDSKILLS:

  • 3 to 8 years of experience in a technical pre-sales engineering role, ideally within an Hyperscaler or Neocloud environment
  • Strong expertise in Cloud Architecture (IaaS / PaaS) and B2B complex sales cycles
  • Deep knowledge of G
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