Channel Partner Manager
Riyadh, Riyadh Province, Saudi Arabia முழு நேரம்
முதல் ஆளாக விண்ணப்பிக்கவும்
- அனுபவம்
- 7+ ஆண்டுகள்
- சம்பளம்
- —
- காலியிடங்கள்
- 1
- பதிவுசெய்யப்பட்டது
- 3 மணி நேரம் முன்
- வேலை முறை
- அலுவலகத்தில்
- சுயவிவரம்
- விண்ணப்பிக்க வேண்டும்
நீங்கள் பணிபுரியும் இடம்
பணி விளக்கம்
About Think AI
Think AI is creating a hardware-aware AI orchestration platform that integrates datacenter-grade AI computational capabilities within sovereign settings, delivering unmatched efficiency and simplicity. Our deep-tech orchestration system simplifies complex AI training, fine-tuning, and inference processes into a unified adaptive layer that works closely with GPU hardware to boost performance, efficiency, and control. Founded in Riyadh, we are rapidly expanding and assembling a top-tier team committed to owning and developing a category-defining product from inception.
Our core values emphasize mastery of our craft with rigorous attention to detail, honoring trust from our team, customers, and mission, and conducting ourselves with honesty and integrity. We operate in a fast-paced environment where rapid execution, swift decision-making, and continuous learning are standard. We expect all team members, from newcomers to leadership, to be hands-on, take initiative to solve problems directly, and act with ownership.
Role Overview
As the Channel Partner Manager, you will lead and execute Think AI's channel partner program by managing existing strategic partnerships and recruiting new resellers, distributors, and system integrators across Saudi Arabia, MENA, and select global markets. Your efforts will focus on generating pipeline through partners and ensuring they are well-prepared and motivated to effectively sell Think AI solutions. You will report directly to the COO.
Key Responsibilities
- Develop and manage the channel strategy across KSA, MENA, and selected international markets, making strategic decisions about partner recruitment, investment, and phase-out.
- Recruit and onboard new channel partners including resellers, distributors, and system integrators regionally and globally.
- Design and implement the channel partner program structure, including partner tiers, margin schemes, deal registration, marketing development funds (MDF), certifications, and joint marketing initiatives.
- Conduct quarterly business reviews with strategic partners to ensure adherence to joint plans and revenue objectives.
- Lead partner enablement activities such as providing technical training, sales certifications, demonstration environments, and facilitating joint engagements with customers.
- Achieve quarterly and annual revenue goals driven and influenced by partners.
- Serve as the liaison between channel partners and Think AI’s direct sales team to maintain deal protection and ensure smooth transaction handoffs.
Qualifications and Experience
- Over 7 years of experience in channel management, partner management, or alliance roles within the AI, GPU, server, or cloud ecosystem.
- Background working with HPC vendors, AI international vendors, or hyperscalers preferred.
- Demonstrated success in scaling partner-sourced revenue streams.
- Strong commercial skills and experience negotiating contracts.
- Fluency in both Arabic and English languages.
Preferred Attributes
- Existing network of channel partnerships across KSA, MENA, and international markets.
- Experience creating and managing formal channel partner programs from the ground up.
- Familiarity with SaaS or enterprise software channel programs as Think AI plans to offer its ILM product as standalone software.
- Previous involvement in startups progressing from early to growth stages.
What Think AI Provides
- Opportunity to be part of one of the first deep-tech companies in MENA developing foundational AI technology in-house.
- Significant ownership and influence within an early-stage enterprise.
- Competitive compensation package for an early-stage venture.
- Close teamwork with highly skilled professionals.
- Exposure to challenges that merge hardware, system architecture, and AI at scale.