Account Solutions Architect – Greenfield

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

📋 Description

• Collaborate as part of a three-member team, consisting of one Account Executive and one Account Manager, to acquire new accounts and enhance existing ones.

• Focus on the Northern EMEA region, particularly the Nordics and Benelux areas.

• Conduct technical discovery sessions with potential and current customers.

• Comprehend model training needs, MLOps workflows, and infrastructure limitations.

• Create and deliver solutions that encompass ML infrastructure, GPU computing, storage, networking, Kubernetes orchestration, and MLOps tools.

• Facilitate proof-of-concept initiatives and architectural assessments leading to decision-making.

• Serve as the internal advocate for the customer, conveying technical requirements and product deficiencies to Engineering and Product teams.

• Keep documentation updated regarding customer architectures, solution designs, and unresolved technical inquiries.

• Aid in acquiring new logos and expanding ongoing accounts.

• Willingness to travel up to 40%.

⛳️ Requirements

• Minimum of 3 years in a pre-sales, solutions engineering, or solutions architecture position, preferably with a focus on AI/ML platforms, cloud infrastructure, or HPC.

• Solid understanding of ML training and inference processes.

• Practical experience with MLOps platforms and tools, including experiment tracking, pipeline orchestration, and model serving.

• Familiarity with AI frameworks such as PyTorch, TensorFlow, or JAX.

• Knowledge of GPU topology, network fabric, and cluster architecture.

• Hands-on experience with Kubernetes and large-scale containerized workloads.

• Proven ability to manage multiple concurrent opportunities across a defined geographic area.

• Proficient in English is required.

• Proficiency in Dutch, Swedish, Norwegian, Danish, or Finnish is advantageous.

• Preference for familiarity with NVIDIA GPU architectures and technologies such as CUDA, NCCL, and cuDNN.

• Working knowledge of InfiniBand, RDMA, RoCE, and TCP/IP is preferred.

• Experience collaborating directly with AI labs, research institutions, or enterprise ML teams is favored.

• Exposure to physical AI applications is a plus.

• Familiarity with tools like Salesforce, Jira, Confluence, or similar is preferred.

• Successful candidates must pass a basic criminal record check.

• Applicants must meet applicable U.S. export-control eligibility criteria.

🏝️ Benefits

• Discretionary bonus.

• Equity awards.

• Family-level Medical Insurance.

• Family-level Dental Insurance.

• Generous Pension Contribution.

• Life Assurance at 4x Salary.

• Critical Illness Cover.

• Employee Assistance Programme.

• Tuition Reimbursement.

• Work culture centered on innovative disruption.

• Competitive salary.

• Opportunities for growth.

• Collaboration and development in a cutting-edge environment.