Solutions Engineer – Enterprise Compute

Overview

Own the technical side of enterprise customer relationships for a GPU compute and cloud infrastructure company, from pre-sales through onboarding and ongoing production usage.

What you'll do

• Own enterprise customer onboarding: manage access, networking, storage, server handover and first workloads through to production.
• Act as the first technical point of contact for enterprise customers, understanding and troubleshooting issues before escalating to SRE or engineering when needed.
• Own technical issues through resolution: provide context to internal teams, coordinate communication and ensure issues are closed properly.
• Support pre-sales activities: lead technical discovery, solution design, sizing, demos and POCs alongside the commercial team.
• Design and run POCs with clear technical success criteria and help customers move from evaluation to production.
• Debug customer workloads hands-on, including inference and multi-GPU workloads, working directly with customer engineering teams.
• Monitor account health proactively: identify technical risks, communicate incidents and RCAs, track uptime and surface potential issues before they become blockers.
• Work cross-functionally with Account Management, Product, SRE and Engineering to translate customer requirements into effective technical solutions.
• Improve the enterprise customer experience by identifying recurring technical problems and creating better onboarding and operational processes.

What you'll need

• 5+ years of experience as a Solutions Engineer, Solutions Architect, Technical Account Manager or similar customer-facing technical role.
• Experience working with cloud infrastructure, GPU infrastructure, AI infrastructure or enterprise compute.
• Strong hands-on knowledge of Linux.
• Strong hands-on knowledge of virtual machines.
• Strong hands-on knowledge of Kubernetes.
• Strong hands-on knowledge of networking.
• Strong hands-on knowledge of storage.
• Strong hands-on knowledge of NVIDIA GPUs.
• Ability to troubleshoot complex infrastructure and AI workloads alongside experienced customer engineers.
• Experience running technical demos, POCs, implementations or enterprise deployments.
• Strong understanding of production infrastructure and the ability to distinguish between customer-facing issues and underlying SRE/engineering problems.
• Excellent communication skills and the ability to explain complex technical concepts clearly to both technical and non-technical stakeholders.
• Highly proactive and autonomous: comfortable identifying what needs to happen next without waiting for instructions.
• Strong ownership mentality: follow problems through to resolution rather than simply passing them to another team.
• Comfortable operating in a fast-moving environment where processes are still being built.
• Fluent English.

Nice to have

• French.

Details

• Location: Remote.
• Employment type: Full-time.
• Start date: ASAP.