Senior Solutions Architect

About Think We make the world's compute radically more efficient. Think AI was founded in Riyadh in 2025 on one problem: expensive silicon sitting underused, held back by software blind to the hardware it runs on. We design and build the machine and the orchestration together, in one building, so that stops being true. Our Mission To redefine AI infrastructure from the silicon up. To build the most efficient compute platform on earth, where hardware and software co-evolve to maximise intelligence. Our Values • Ownership (مسؤولية) — You own the outcome, not just the task. Frugal with resources, mission ahead of comfort. • Agility (مرونة) — Move with velocity. Ship quickly and iterate. Disagree and commit. • Impact (أثر) — Build for the customer. Think big and execute simply. Outcomes, not activity. • Mastery (إتقان) — Go deep on the hard problem. Excellence is your default. Role overview 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. 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. Nice to have • 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. Show more Show less

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.

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.