Schneider Electric
Technical Sales Specialist – AI Infrastructure
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Technical Sales Specialist – AI Infrastructure
Role Purpose
Schneider Electric is competing in an AI infrastructure market where technical credibility at the design-win stage is decisive. Our participation in critical early-stage conversations — where GPU cluster architecture, power budgets, cooling strategy and rack design are being defined — is currently limited, and consequently we are losing influence over the bill of materials (BoM).
The Technical Sales Specialist – AI Infrastructure will serve as the primary technical resource for the AI Infrastructure team, providing deep expertise in modern AI server platforms (including NVIDIA B300/GB300 and successor architectures), high-density power and cooling, networking, and modular/prefab data centre deployments. The role covers neocloud, alliance and System Integrator (SI) customers and includes customer-facing, pre-sales responsibilities.
Key Responsibilities
Technical Pre-Sales & Design Wins
- Lead technical conversations with neocloud customers, alliance partners (Dell, Supermicro, HPE, Lenovo, Asus, Gigabyte) and regional SIs during the AI infrastructure design and procurement phase.
- Develop and present technically credible SE solutions for GPU rack deployments, including:
- Power distribution (PDUs, busways, powershelves)
- High-density cooling (direct-to-chip liquid cooling, rear-door heat exchangers, etc.)
- Physical infrastructure
- Produce Bills of Materials (BoMs), solution designs, rack layouts, and power/thermal calculations for customer and partner review.
- Support Account Managers in converting technical conversations into commercial pipeline and closed orders.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
AI Platform Expertise
- Maintain current, in-depth knowledge of AI server platforms (NVIDIA B300, GB300, VR, HGX configurations) and their associated infrastructure requirements (power density, cooling, networking, cabling, etc.).
- Understand networking architectures for AI clusters, including:
- InfiniBand (with HDR/NDR support)
- RoCE
- Spine-leaf topologies
- Physical infrastructure implications for racks and cabling.
- Stay current with the evolving prefab and modular data centre landscape as the preferred AI deployment model at scale and contribute to SE's prefab AI offer development.
Alliance & Ecosystem Engagement
- Act as SE's technical point of contact for alliance partner pre-sales and solutions teams (Dell, Supermicro, HPE etc.), supporting:
- Joint design reviews
- RFP responses
- Provide technical enablement to alliance partner sales teams on SE’s AI-ready infrastructure portfolio.
- Support regional SI engagement at the technical level:
- Reviewing project designs
- Proposing SE solutions
- Supporting tender responses
Internal Contribution
- Feed market and customer insights into:
- SE's offer management
- Product roadmap teams to prioritise AI-ready solutions.
- Create and maintain reusable technical assets, such as:
- Reference architectures
- Configuration guides
- Rack design templates
- Competitive battle cards.
- Mentor and upskill commercial team members on:
- AI infrastructure concepts
- SE’s evolving AI portfolio
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Candidate Profile
Essential Experience
- 5–8 years in a technical pre-sales, solution architecture, or systems engineering role within the data centre or AI/HPC infrastructure space.
- Hands-on knowledge of AI server platforms, including:
- NVIDIA HGX, DGX, B100/B200/B300, GB300 (or equivalent)
- Power, cooling, and physical infrastructure requirements for these systems.
- Experience designing or specifying high-density data centre infrastructure:
- Power distribution (PDUs, busways)
- Liquid cooling
- Modular/prefab deployments
- Ability to produce accurate BoMs, rack designs, and power/thermal calculations independently.
- Direct experience engaging with customers/partners in a pre-sales capacity.
Desirable Qualifications
- Experience in a hyperscale, neocloud, or colocation operator environment or working with a system integrator.
- Familiarity with AI networking:
- InfiniBand (HDR/NDR)
- RoCE
- Spine-leaf and fat-tree topologies
- Prior experience in prefab/plug-and-play data centre design and deployment.
- Relevant certifications:
- NVIDIA
- VMware VCP-DCV
- BICSI RCDD
- Data centre design credentials.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location