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)

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 GPU Architecture / GPU Clusters (NVIDIA, AMD) and container orchestration (Kubernetes GPU)
Familiarity with distributed systems and high-performance storage solutions (Slurm, Lustre, VAST, DDN, CUDA)
Solid command of advanced networking protocols for HPC ecosystems (InfiniBand / RDMA)
Familiarity with AI training, inference stacks, and MLOps architectures
Excellent business and technical English (both written and spoken) for a worldwide scope
Strong relationship-building skills with the ability to engage with both highly technical engineers and C-level executives
Collaborative mindset with a proven ability to bridge the gap between product engineering and sales teams
Pragmatic problem-solving skills with a business-driven mindset
Strong team spirit and humility (knowing how to share credit with internal stakeholders)

Hybrid work: We offer up to 3 days of remote work per week.
Offices: Our offices are spacious, dynamic workspaces with bold design, conveniently located near public transport. Most of our offices feature outdoor spaces (terraces) and bike parking facilities.
Dining: Our chef provides a healthy meal service at the headquarters, and breakfast is available across all our sites year-round. Scalers working from regional sites enjoy a Swile card for lunches.
Well-being commitments: Whether it’s access to a gym, daycare places, or discounted services for caring services, Scaleway is committed to supporting Scalers in maintaining a balanced life.
International environment: With dozens of nationalities, Scaleway offers a stimulating environment where English is as widely spoken as French.
Career & Mobility: Our managers value internal mobility, and opportunities to transition to other entities within the Iliad Group are accessible to all Scalers.

Pre-Sales Solutions Architect – AI, GPU Infrastructure

Key skills