Pre-Sales Solutions Architect – Artificial Intelligence (AI) and Graphics Processing Unit (GPU) Infrastructure Location: Paris, Bordeaux, Lille, Lyon, Rennes, Rouen, Saint-Ouen-l'Aumône, or Toulouse, France Work Arrangement: Hybrid (Up to 3 remote days per week) Employment Type: Full-time (Long-term) Our offices are located in Paris, Lille, Toulouse, Rennes, Rouen, Bordeaux, and Lyon. WHY WE NEED YOU? 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. Your mission will be to act as the primary technical contact for our clients and prospects during the first phases of their projects in order to resolve complex infrastructure challenges, design tailored GPU cluster solutions, and accelerate sales closing. YOUR FUTURE TEAM We work in a collaborative and international environment where the diversity of Scalers, combined with a spirit of sharing, helps bring new projects to life every day, advancing our ambitions together. You will be part of a team of experts dedicated to high-performance computing and AI, operating within a wider organization backed by the resources of the Iliad Group. This role focuses on high-visibility, European-scale projects with a strong focus on digital sovereignty. You will work in close collaboration with the Head of GTM GPU, as well as our Hardware, Product, Network, and Marketing teams to build custom, cutting-edge solutions for global clients. 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 HARD SKILLS: - 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 SOFT SKILLS: - 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) WHAT YOU WILL FIND AT SCALEWAY ++++ - 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. Why join the Scaleway adventure? A rich and diverse product offering: Scaleway offers over 100 public cloud products in IaaS, PaaS, and AI.  A cutting-edge technical environment: Scaleway provides modern infrastructures, including high-performance bare metal servers, to tackle exciting technical challenges. Commitment to responsible cloud: Scaleway is dedicated to a more responsible cloud, with data centers powered solely by renewable energy since 2017, minimizing our ecological footprint and holding top-level certification.

• Work alongside our Sales & Business Development teams to drive incremental revenue from our existing partners • Collaborate in identifying new business partners and revenue streams in different regions and market segments • Drive technical trust, ensuring solution-fit, and enabling sales success by delivering clear, credible, and consultative engagements with both partners and customers throughout the customer lifecycle • Develop and cultivate relationships with partners, customers, sales and support teams • Provide technical leadership to the Sales & Partner Account teams • Help create repeatable Sales Support collateral and content • Provide industry, technical, and product insight to partners and customers • Perform innovative and business-led presentations for partners, customers, and prospects through technical demonstrations, product overviews and sales presentations • Manage all customer feature requests including documentation of customer requirements, prioritisation of all customer requests within each account

• Create and deliver technical product presentations to prospective customers • Gather customer technical requirements to ensure proposed solutions will meet customer goals and needs • Lead product evaluations and custom product configurations • Design evaluation test plans with customers and guide the process to successful outcomes

• Source and develop opportunities — within existing BPC accounts, through partner channels, and via your own network — and lead the sales cycle end to end, from first conversation through signed engagement. • Build and maintain relationships with referral channels: Anthropic and other AI vendor sales teams, centers of influence, and partner firms that refer new business to the practice. • Lead technical discovery sessions with prospective clients to map their systems, data, and operational workflows to agent automation opportunities. • Deliver the right pre-sales motion for each opportunity — demos from our pre-built agent fleet, workshops, technical deep dives, or proof-of-value scoping — matched to the client’s vertical and buying stage. • Scope and size engagements: map candidate agent initiatives to complexity bands, estimate work units, and recommend the right engagement structure and retainer tier. • Design high-level agent architectures and solution blueprints — agent design, MCP connector approach, system integration points, security and access model, and observability. • Collaborate with sales and Global Solution Architects to qualify opportunities and respond to RFPs. • Draft proposals and statements of work — pricing, effort estimates, timeline, and phasing — then present to client stakeholders and negotiate scope, pricing, and redlines through to signature. • Translate technical concepts — agents, MCP, model selection, token economics — into language that resonates with CFOs, CTOs, and operations leaders. • Handle technical objections credibly: build-vs-buy, security and data access, infrastructure and model-choice concerns, and how production agents differ from the AI tools clients already use. • On close, carry the vision into delivery: mobilize the assigned team to deliver what was positioned and sold, and stay engaged as engagement sponsor. • Develop long-lasting client relationships as a trusted advisor, positioning follow-on services as the account grows. • Contribute to demo assets, sales collateral, and reusable solution patterns as the practice’s IP library grows. • Stay current on the AI agent landscape — models, agent frameworks, MCP ecosystem, and enterprise AI governance trends.