Senior Sales Engineer

• We are seeking a dynamic and technically strong Sales Engineer / Pre-Sales Solution Architect to help customers design and deploy next-generation AI infrastructure in the French speaking areas of Europe
• We’re looking for a Sales Engineer who wants to own that transition inside real accounts: banking, insurance, telecom, government, pharma
• This is enterprise infrastructure, not experimental AI — the customer’s platform and security teams will be in the room, and your technical credibility is what earns their trus
• In this role, you will work closely with our European enterprise customers, platform engineering teams, and AI practitioners to architect solutions that enable scalable AI workloads, modern developer platforms, and Kubernetes-based infrastructure across hybrid and multi-cloud environments
• This is not a support role. You own the architecture conversation, the proof-of-concept, and the depth of the customer relationship. Account teams partner with you — the technical trust is yours to build
• Own the technical relationship. Be the person CTOs, platform teams, and infrastructure leaders trust for a straight answer — not just the one who runs the demo
• Architect real solutions. Translate a customer’s constraints — regulatory, operational, organizational — into deployable architecture across our Container, OpenStack, and Enterprise AI offerings
• Lead the proof. Run PoCs that prove fit under real
  
  conditions:
  deploy the platform, prototype AI workloads, debug live, and show what running it operationally actually looks like
• Tell the story. Turn infrastructure complexity into a narrative a CIO and a platform engineer can each act on — in a boardroom, a workshop, or on a whiteboard
• Build and protect the account. Carry technical continuity from discovery through PoC through expansion — especially in regulated environments where trust is earned slowly and lost fast
• Win net-new. Bring the same credibility to greenfield opportunities across regulated verticals, where the AI infrastructure conversation is often just starting
• Shape what we build. Feed field insight back into product and GTM as our Enterprise AI infrastructure evolves — your input carries real weight

You think in platforms, not tools. Compute, networking, storage, and now inference and governance — one architecture, not a checklistYou own relationships, not tickets. You’ve managed accounts in regulated, high-scrutiny environments and know that technical trust is the actual sales cycleYou’re a natural technical evangelist. Conference talks, open-source contributions, technical writing, demo-building — this is already how you show upYou can deploy what you sell. You stand up clusters, run live demos, build PoCs, and debug them yourself when something breaks in front of the customerYou’ve lived the cloud native rise. Kubernetes, containers, OpenStack, platform engineering — you’ve built and operated this, likely as a platform engineer, DevOps engineer, or cloud architect, before moving toward the customerYou’re pulled toward AI infrastructure. GPU orchestration, inferencing, model serving — you’re already leaning in, not waiting to be askedDriving demonstrable outcomes and results is what we care about most. We want someone with a proven track record of leading technical evaluations that turn into signed deals — and who can tell you exactly how they did itEqually important: proven technical authority in regulated enterprise environments, where the sales cycle runs through platform and security review as much as procurement. This is relationship development and technical account management as much as it is architectureExperience managing accounts in regulated industries (banking/FSI, telecom, government, pharma/manufacturing) strongly preferredProven track record supporting enterprise sales cycles for infrastructure or cloud platforms5+ years in Sales Engineering, Solutions Architecture, or Technical Consulting in France or other French speaking countries in Europe12 years combined experience across infrastructure engineering and solutions architecture / sales engineeringHands-on experience designing or operating Kubernetes and/or OpenStack-based systems in production