Senior Sales Engineer – Pre-Sales Solution Architect, AI Infrastructure

This is a fully remote position, open to applicants in Belgium.

📋 Description

• Collaborate with account teams to enhance strategic enterprise initiatives.

• Facilitate technical discovery sessions to assess customer infrastructure, AI, and platform engineering requirements.

• Act as a trusted advisor to CTOs, platform teams, and leaders in AI engineering.

• Architect AI infrastructure solutions utilizing Mirantis k0rdent and technologies from the open-source ecosystem.

• Convert customer specifications into scalable solutions based on Kubernetes.

• Create reference architectures and deployment strategies for AI workloads.

• Present engaging technical presentations, demonstrations, and workshops.

• Represent Mirantis at conferences, technical events, and within industry communities.

• Generate technical content, demonstrations, and solution patterns to facilitate adoption.

• Lead customer proof-of-concept initiatives to confirm solution suitability.

• Prototype deployments for AI workloads and developer platforms.

• Showcase operational workflows related to AI infrastructure and MLOps.

• Collaborate closely with product management, engineering, and marketing teams.

• Provide field insights that shape product roadmaps and go-to-market strategies.

• Assist in constructing reusable architectures and technical resources.

⛳️ Requirements

• Over 5 years of experience in Sales Engineering, Solutions Architecture, or Technical Consulting in France or other French-speaking countries in Europe.

• Proven experience in supporting enterprise sales for cloud-native or infrastructure platforms.

• Practical experience in designing or managing Kubernetes-based systems.

• In-depth knowledge in several of the following areas: Cloud Native Infrastructure, Kubernetes container orchestration, multi-cluster management, Helm, Operators, CRDs, AI Infrastructure & MLOps, AI/ML deployment pipelines, model serving and inference platforms, Kubeflow, MLflow, Ray, or comparable frameworks, GPU-accelerated workloads, Platform Engineering, GitOps workflows, infrastructure automation, Cloud & Hybrid Infrastructure, AWS, Azure, GCP, hybrid cloud on-prem infrastructure, DevOps & Observability, CI/CD pipelines, infrastructure as code, monitoring, and observability platforms.

🏝️ Benefits

• Collaborate with a well-established leader from Silicon Valley in the cloud infrastructure sector;

• Engage with passionate, talented, and dynamic colleagues, assisting Fortune 500 and Global 2000 clients in implementing next-generation cloud technologies;

• Contribute to pioneering open-source innovations;

• Flourish in the vibrant atmosphere of a youthful company that values openness, collaboration, risk-taking, and continuous development;

• Access professional development and training opportunities;

• Participate in conferences and working groups;

• Enjoy company outings, happy hours, hackathons, and tech talks;

• Receive a competitive compensation package accompanied by a robust benefits plan.