Senior Solutions Architect

think

Riyadh

On-site

SAR 280,000 - 460,000

Full time

14 days+
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Benefits offered by this job

Competitive compensation
Senior team collaboration
Ownership and impact
Hardware + AI at scale

Job summary

think is seeking a Senior Solutions Architect to lead pre-sales and customer success for its Riyadh-based commercial footprint. You will map think AI Nodes and ILM to customer environments, serving as the technical authority daily.

Role is full-time with Field Engineering and Riyadh as the location. English fluency required; Arabic is a strong advantage. You will own workshops, RFP responses and deployments from kickoff to go-live.

Qualifications

  • 8+ years in solutions architecture or equivalent customer-facing technical role.
  • Experience designing compute solutions for named accounts.
  • Breadth across accelerated compute, networking, storage, Linux, and training/inference on bare metal.
  • Experience managing a small technical team or acting as tech lead.
  • Fluent English; Arabic is a strong advantage.

Responsibilities

  • Own the technical solution design on every major deal. Translate customer requirements into hardware and software configurations that win.
  • Lead workshops, technical deep dives and proof-of-concept scoping with customer architects and engineering teams.
  • Manage the Solutions Engineer and the Customer Support Technician. Hire, develop and hold the bar as the team grows.
  • Own technical RFP responses: accurate, complete, and with a point of view.
  • Be the bridge between sales and engineering. Carry customer pain back to the product team and bring engineering confidence to the customer.
  • Run technical onboarding and see deployments through from kickoff to go-live.

Job description

Open roles
Senior Solutions Architect

Lead technical pre-sales and customer success across the commercial footprint, anchored in Riyadh and growing into the region. You are the technical authority who maps think AI Nodes and ILM to a customer environment, workload and constraints, and you are customer facing every day.

Type Full time

Team Field engineering

Location Riyadh

What you will do
  • Own the technical solution design on every major deal. Translate customer requirements into hardware and software configurations that win.
  • Lead workshops, technical deep dives and proof-of-concept scoping with customer architects and engineering teams.
  • Manage the Solutions Engineer and the Customer Support Technician. Hire, develop and hold the bar as the team grows.
  • Own technical RFP responses: accurate, complete, and with a point of view.
  • Be the bridge between sales and engineering. Carry customer pain back to the product team and bring engineering confidence to the customer.
  • Run technical onboarding and see deployments through from kickoff to go-live.
What you need
  • Eight years or more as a solutions architect, sales engineer or equivalent customer-facing technical role in AI, accelerated compute, server or data centre infrastructure.
  • Experience at a leading hardware, hyperscale or AI company designing compute solutions for named accounts.
  • Technical breadth across accelerated compute, networking, storage, Linux, and training, fine-tuning and inference on bare metal.
  • Experience managing a small technical team, or acting as tech lead inside a larger organisation.
  • Fluent English. Arabic is a strong advantage.
Useful, not required
  • Hands-on with CUDA, ROCm, PyTorch, vLLM or comparable infrastructure tooling.
  • Familiarity with liquid cooling, high-density rack design, or regulated-environment architectures.
  • Experience positioning combined hardware and software solutions.
  • A postgraduate degree in a technical field.
  • Time inside a startup scaling from early to growth stage.
What we offer
  • One of the first deep tech companies in the region, building foundational technology in house.
  • Meaningful ownership and impact at an early stage.
  • Competitive early-stage compensation.
  • Close collaboration with a small, senior team.
  • Problems that combine hardware, systems and AI at scale.
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