شركة think تعلن عن وظيفة مدير تقنية معلومات في الرياض

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

Owns every technical surface that keeps Think AI running. Laptops, identity, SaaS,

network, security, and the servers themselves. You will build and deploy our internal Think AI Nodes from

bare chassis to production-ready system, operate the 30 kW datacenter at HQ that serves as our internal

proving ground for every product we ship, and keep every employee's tools working without friction. We

are looking for a genuine jack of all trades who is excellent at each of them. Comfortable in a server rack,

comfortable in a terminal, and comfortable fixing an executive's laptop mid-meeting

What you will do

• Own the end user and endpoint experience across the company: laptop provisioning, MDM enrollment, identity and MFA, onboarding, offboarding, and daily support.


• Administer the corporate SaaS stack across Google Workspace, Slack, GitHub, and Zoom. Access,

groups, licensing, SSO, security posture, and audit readiness.

• Own the office network end to end: switches, WiFi, firewall, VPN, cabling, DNS, meeting room AV, printers, and VoIP.


• Build and deploy Think AI Nodes from bare chassis to production-ready system. GPU, CPU, memory storage population, liquid cooling loop assembly and leak test, cabling, firmware, BIOS and BMC provisioning, OS imaging, driver stack, and burn-in validation against thermal and power targets.


• Operate the 30 kW HQ datacenter day to day alongside the VP of Field Engineering. Thermals, power draw, network health, firmware update cycles, spare parts inventory, RMAs, and hardware replacement.


• Own IT security operations: patch management, backup verification, log monitoring, endpoint


• protection, and incident response, in coordination with Legal on policy.


• Own the technical facilities layer covering security cameras, badge and access control, meeting room, AV, and VoIP configuration.


• Automate what should not be manual, and manage IT vendors, procurement, licensing, and renewals

What you need

• 7+ years hands-on IT experience with genuine breadth across endpoints, network, SaaS administration,

and security.

• Hands-on server build experience. GPU installation, memory and storage population, cabling, firmware,

BIOS, BMC, and OS provisioning.

• Strong scripting in at least two of bash, Python, and PowerShell.

• Google Workspace or Microsoft 365 administration at company scale, including SSO, MFA, and lifecycle

automation.

• Network fundamentals: switching, routing, firewall rules, WiFi design, VPN, and DNS.

• Native or fluent Arabic and fluent English

Nice to have

• Experience supporting GPU or AI compute environments.

• Hands-on experience with liquid-cooled or high-density rack deployments.

• Cybersecurity certifications such as Security+ or CISSP.

• Prior experience 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.