Pre-Sales Solutions Architect - AI & GPU Infrastructure

Our growth is driving us to strengthen our HPC / AI Tribe team to support our fast‑growing portfolio of large‑scale GPU infrastructure and AI/ML workloads.

Responsibilities

• Act as the primary technical contact for clients and prospects during the first phases of their projects to resolve complex infrastructure challenges, design tailored GPU cluster solutions and accelerate sales closing.
• Prepare and actively participate in technical client presentations.
• Deeply understand and analyse clients’ AI workloads (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.
• Organise and execute proofs of concept 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.
• Analyse market trends and competitor offerings to contribute to continuous improvement of our GPU cluster product lines.
• Anticipate market needs and participate in defining future services and their associated service level agreements.

Qualifications

Hard Skills

• 3 to 8 years of experience in a technical pre‑sales engineering role, ideally within a hyperscaler or new‑cloud 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.

Soft Skills

• Excellent business and technical English (written and spoken).
• Strong relationship‑building skills with the ability to engage with 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.

Benefits

• Hybrid work: up to 3 days remote per week.
• Offices located in Paris, Lille, Toulouse, Rennes, Rouen, Bordeaux and Lyon with spacious, dynamic workspaces, outdoor terraces and bike parking.
• Healthy meal service at headquarters and breakfast available across all sites; Swile card for lunches at regional sites.
• Well‑being commitments: access to gym, daycare places, discounted services for caring responsibilities.
• International environment: English widely spoken; diverse nationalities.
• Career & mobility: internal mobility and opportunities to transition to other entities within the Iliad Group.

Equal Opportunity Statement

At Scaleway, we are committed to building an inclusive and respectful workplace where everyone has a fair opportunity to thrive. All applications are considered with care, regardless of age, gender, sexual orientation, ethnic or social background, religion, disability, or any other characteristic.