Accounts Manager, Enterprise and Datacenter
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Key skills for this role
About the Role
Think AI is seeking an Enterprise and Datacenter Account Manager to own and grow enterprise and datacenter accounts in KSA and MENA. The role involves selling AI hardware and orchestration platforms to major banks, telcos, and energy companies.
Key Skills for This Role
Responsibilities
- Own a named account portfolio across enterprise and datacenter customers, anchored in KSA, growing into MENA and globally
- Lead the full sales cycle: prospecting, qualification, technical validation, commercial negotiation, deployment, and account expansion
- Build TCO and ROI models demonstrating value of Think AI hardware plus ILM over alternatives
- Partner with Senior Solutions Architect to design solutions matched to customer workloads and datacenter constraints
- Build relationships at IT executive level (CIO, CTO, head of AI, head of infrastructure) and with technical buyers
- Hit quarterly and annual bookings targets and forecast accurately every week
- Bring competitive intelligence and product feedback back to the product team
Requirements
- 6+ years selling enterprise IT infrastructure, AI, GPU compute, servers, or datacenter equipment into major banks, telcos, energy, or commercial enterprise customers
- Local experience at a leading hardware, hyperscale, or AI company managing enterprise accounts in AI, GPU, or server categories
- Track record of closing seven figure deals end to end
- Strong commercial acumen, comfortable with TCO modeling, multi year contracts, and complex commercial structures
- Native or fluent Arabic and fluent English
Full Job Posting
Role Overview
- The Enterprise and Datacentre Account Manager will own and grow Think AI's enterprise and datacentre accounts, anchored in KSA and expanding across MENA and into global markets.
- You’ll sell our SuperNode, UltraNode, and RackNode hardware, paired with our ILM orchestration platform, to major banks, telcos, energy companies, and data center operators.
- You will report directly to the VP of Sales, KSA.
Responsibilities
- Own a named account portfolio across enterprise and datacenter customers. Anchor in KSA, grow into MENA, and then globally as the business scales.
- Lead the full sales cycle: prospecting, qualification, technical validation, commercial negotiation, deployment, and account expansion.
- Build TCO and ROI models that show why Think AI hardware plus ILM beats hyperscaler GPU rental or legacy server vendors.
- Partner with the Senior Solutions Architect to design solutions matched to each customer's workload, datacenter footprint, and power and cooling constraints.
- Build relationships at the IT executive level (CIO, CTO, head of AI, head of infrastructure) and stay close to the technical buyers and architects.
- Hit quarterly and annual bookings targets. Forecast accurately every week.
- Bring competitive intelligence and product feedback back to the product team.
Requirements
- 6+ years selling enterprise IT infrastructure, AI, GPU compute, servers, or datacenter equipment into major banks, telcos, energy, or commercial enterprise customers.
- Local experience at a leading hardware, hyperscale, or AI company managing enterprise accounts in AI, GPU, or server categories.
- Track record of closing seven figure deals end to end.
- Strong commercial acumen. Comfortable with TCO modeling, multi year contracts, and complex commercial structures.
- Native or fluent Arabic and fluent English.
Nice to Have
- Familiarity with data center design, power, and cooling, and ML/AI workload requirements.
- Experience selling against AWS, Azure, or GCP GPU offerings.
- Experience selling SaaS or enterprise software alongside hardware.
- Prior experience inside a startup scaling from early to growth stage.
What We Offer
- Opportunity to join one of the first deep tech companies in MENA, building in house foundational AI technology from the ground up.
- Meaningful ownership and impact at an early stage company.
- Competitive early stage compensation.
- Close collaboration with world class staff.
- Work on problems that combine hardware, systems, and AI at scale.
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