Senior Sales Engineer - Enterprise AI; remote EU

Senior Sales Engineer - Enterprise AI (remote in the EU)

• Full-time

About Mirantis

Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers.

As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock‑in, Mirantis ensures that customers retain full control of their infrastructure strategy.

The Opportunity

Mirantis helped define cloud native infrastructure for a generation of enterprises through our Container and Open Stack platforms — the systems that run mission‑critical workloads inside the world's most regulated organizations. Now those same customers are facing a new set of challenges as agentic AI and inferencing workloads grow explosively, and we're building the next infrastructure chapter to meet them there.

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.

What You'll Actually Do

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, Open Stack, 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.

Who You Are

You've lived the cloud native rise. Kubernetes, containers, Open Stack, platform engineering — you've built and operated this, likely as a platform engineer, Dev Ops engineer, or cloud architect, before moving toward the customer.

You're pulled toward AI infrastructure. GPU orchestration, inferencing, model serving — you're already leaning in, not waiting to be asked.

You think in platforms, not tools. Compute, networking, storage, and now inference and governance — one architecture, not a checklist.

You can deploy what you sell. You stand up clusters, run live demos,…