Senior Sales Engineer - Enterprise AI Infrastructure @Mirantis
Sales
Salary unspecified
Remote Location
Employment Type full-time
Posted 2d ago

[Hiring] Senior Sales Engineer - Enterprise AI Infrastructure @Mirantis

2d ago - Mirantis is hiring a remote Senior Sales Engineer - Enterprise AI Infrastructure. πŸ’Έ Salary: unspecified πŸ“Location: Europe

Role Description

Mirantis helped define cloud native infrastructure for a generation of enterprises through our Container and OpenStack platforms β€” 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 β€” the customer's platform and security teams will be in the room, and your technical credibility is what earns their trust.

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 β€” 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 β€” not just the one who runs the demo.
  • Architect real solutions. Translate a customer's constraints β€” regulatory, operational, organizational β€” 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 β€” in a boardroom, a workshop, or on a whiteboard.
  • Build and protect the account. Carry technical continuity from discovery through PoC through expansion β€” 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 β€” your input carries real weight.

Qualifications

  • You've lived the cloud native rise. Kubernetes, containers, OpenStack, platform engineering β€” 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 β€” you're already leaning in, not waiting to be asked.
  • You think in platforms, not tools. Compute, networking, storage, and now inference and governance β€” 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 β€” this is already how you show up.

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.
  • Experience managing accounts in regulated industries (banking/FSI, telecom, government, pharma/manufacturing) strongly preferred.

Benefits

  • 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.
Before You Apply
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remote Be aware of the location restriction for this remote position: Europe
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Senior Sales Engineer - Enterprise AI Infrastructure @Mirantis
Sales
Salary unspecified
Remote Location
Employment Type full-time
Posted 2d ago
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