Senior Solutions Engineer – Enterprise Compute

Pragmatike

United States

Remote

USD 150,000 - 200,000

Full time

14 days+

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Job summary

Pragmatike is seeking a senior, customer-facing technical role to guide enterprise clients through onboarding and production operations for AI and compute workloads on GPU and cloud infrastructure.

You will own the technical journey from pre-sales discovery to steady-state operations, collaborating with account management, product, SRE, and engineering teams.

Qualifications

  • 5+ years in a customer-facing technical role such as Solutions Engineer or Technical Account Manager.
  • Hands-on with cloud, GPU, AI, or enterprise compute infrastructure.
  • Strong knowledge of Linux, VMs, Kubernetes, networking, storage, and NVIDIA GPUs.
  • Experience running technical demos, proofs of concept, and deployments.
  • Excellent written and spoken English; French is a plus.

Responsibilities

  • Lead enterprise onboarding including access, networking, storage, server handover, and initial workloads.
  • Serve as the first technical contact; triage issues and escalate to SRE/engineering as needed.
  • Support pre-sales by leading discovery, solution design, sizing, demos and POCs with sales.
  • Debug customer workloads hands-on, incl. inference and multi-GPU setups with customer teams.
  • Monitor account health, communicate incidents and root cause analyses, track uptime.
  • Identify recurring issues and improve onboarding and operations processes.

Skills

Customer-facing
Cloud computing
GPU infrastructure
Kubernetes
Networking
Linux
Demos
POCs
Fluent English
French (nice to have)

Job description

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.
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