Senior Solutions Engineer – Enterprise Compute

Role overview A senior, customer-facing technical role focused on enterprise clients running demanding AI and compute workloads on GPU and cloud infrastructure. The position owns the full technical journey from pre-sales discovery through onboarding and steady-state production operations, partnering closely with account management, product, SRE, and engineering teams.

Responsibilities - Lead enterprise customer onboarding, including access, networking, storage, server handover, and first workloads through to production. - Serve as the first technical point of contact, triaging issues and escalating to SRE or engineering when needed. - Support pre-sales activity by leading technical discovery, solution design, sizing, demos, and proofs of concept alongside commercial colleagues. - Debug customer workloads hands-on, including inference and multi-GPU setups, working directly with customer engineering teams. - Monitor account health proactively, communicating incidents and root-cause analyses and tracking uptime. - Identify recurring technical problems and contribute to better onboarding and operational processes.

Requirements - 5+ years in a customer-facing technical role such as Solutions Engineer, Solutions Architect, or Technical Account Manager. - Hands-on experience with cloud, GPU, AI, or enterprise compute infrastructure. - Strong working knowledge of Linux, virtual machines, Kubernetes, networking, storage, and NVIDIA GPUs. - Track record of running technical demos, proofs of concept, implementations, or enterprise deployments. - Excellent communication skills with both technical and non-technical stakeholders, and a strong ownership mindset. - Fluent English required; French is a plus.

Nice to have - Comfort operating autonomously in a fast-moving environment where processes are still maturing. - Background supporting customers in GPU or AI infrastructure contexts.