Channel Partner

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 () — You own the outcome, not just the task. Frugal with resources, mission ahead of comfort.

• Agility () — Move with velocity. Ship quickly and iterate. Disagree and commit.

• Impact () — Build for the customer. Think big and execute simply. Outcomes, not activity.

• Mastery () — Go deep on the hard problem. Excellence is your default. Role overview Build the partner channel: the resellers, integrators and consultancies who will carry think AI into accounts we will not reach directly. This is a build role, not a management one; the channel largely does not exist yet.

What you will do Recruit, onboard and enable partners across the region. Build the commercial framework: margin, deal registration, tiering and the rules of engagement. Create the enablement partners need: technical training, positioning and competitive material. Run joint pipeline with partners and hold them to it.

Be the internal advocate for what the channel needs from product and marketing. What you need Six years or more in channel or partner management in enterprise technology. You have built a channel rather than inherited one. Comfort with partner economics and with negotiating them. Fluent English.

Arabic is a strong advantage. Nice to have Existing partner relationships across the GCC. Hardware or infrastructure channel experience. Experience launching a partner programme from scratch 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.