1. Overseas AI Cloud Resource Strategic Planning
• Track market dynamics of overseas AI cloud computing and large model services; deliver technology trend assessments and strategic insights;
• Lead technical evaluations for AI Infrastructure resource onboarding and operational planning; establish long-term resource reserves and elastic supply mechanisms.
2. Technical Evaluation and Vendor Selection
• Conduct performance benchmarking and cross-vendor comparative analysis of GPU compute platforms from major providers;
• Participate in technical selection and feasibility assessment of network architecture and high-performance storage solutions for overseas digital intelligence projects.
3. Business Requirements Translation and Solution Design
• Interface with algorithm and engineering teams across business units to translate model training / inference requirements into infrastructure technical specifications;
• Deliver actionable resource matching solutions, including multi-region, multi-GPU-type resource pool scheduling and allocation design.
4. Project Delivery and Full Lifecycle Management
• Own end-to-end delivery of cloud resource projects: requirements gathering → solution design → deployment and implementation → technical operations and maintenance;
• Manage cross-regional (APAC, North America, Europe, etc.) multi-vendor delivery cadence and internal technical team operations, ensuring resource supply SLAs under high-concurrency scenarios.
5. Cost and Efficiency Optimization
• Build compute cost allocation models (TCO) covering the full lifecycle of billing, cost allocation, and reconciliation;
• Drive continuous cost reduction and efficiency gains through resource scheduling optimization, instance type selection, reserved capacity strategies, and other technical measures.
• Bachelor's degree or above in Computer Science, Electronic Engineering, or a related field;
• 10+ years of experience in Infrastructure or AI Infra-related domains, with at least 3 years leading overseas cloud resource programs;
• Familiarity with the GPU compute resource ecosystem and upstream/downstream supply chain of major overseas cloud providers (AWS, GCP, Azure, CoreWeave, etc.);
• Proven track record of owning critical technical solution design and delivery management for large-scale AI infrastructure projects;
• Excellent program management and coordination skills — able to align vendors, business stakeholders, and multiple technical teams to ensure on-time delivery under high-concurrency demand;
• Fluent in English and Chinese (both spoken and written); familiar with overseas work culture and practices; experienced in cross-border team collaboration; able to independently lead international technical reviews and program management.
As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
