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Mirantis helped define cloud native infrastructure for a generation of enterprises through our Container and OpenStack 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, 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.
Who You Are
You'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 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, build PoCs, and debug them yourself when something breaks in front of the customer.
You own relationships, not tickets. You've managed accounts in regulated, high-scrutiny environments and know that technical trust is the actual sales cycle.
You're a natural technical evangelist. Conference talks, open-source contributions, technical writing, demo-building — this is already how you show up.
What Actually Matters Most
Driving 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 it.
Equally 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 architecture.
Practical Requirements
12 years combined experience across infrastructure engineering and solutions architecture / sales engineering.
5+ years in Sales Engineering, Solutions Architecture, or Technical Consulting in France or other French speaking countries in Europe.
Hands-on experience designing or operating Kubernetes and/or OpenStack-based systems in production.
Proven track record supporting enterprise sales cycles for infrastructure or cloud platforms.
A ground-floor seat in Mirantis ' Enterprise AI infrastructure business, backed by an installed base of 1,500 enterprise customers.
Technical ownership, not a scripted demo role — you architect, you build the PoC, you own the trust.
A direct line from field insight to product and GTM as our Enterprise AI infrastructure evolves
What does Mirantis offer you?
Work with an established Silicon Valley leader in the cloud infrastructure industry;
Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;
Be a part of cutting-edge, open-source innovation;
Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;
Professional development and training;
Attend conferences and working groups;
Company outings, happy hours, hackathons, and tech talks;
Receive a competitive compensation package with a strong benefits plan.
Actual base salary varies based on factors, including but limited to, relevant sill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location
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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.