Global Business Development

Regional Strategy & Target Delivery Develop business development strategies and implementation roadmaps for assigned regions, break down annual performance targets and drive end-to-end execution to ensure the achievement of core metrics including regional revenue growth and landmark client acquisition. Full-Cycle Client Development Own the complete business development lifecycle from lead generation, demand validation, commercial negotiation, solution drafting to contract closure and payment collection. Identify monetization opportunities for AI technologies across verticals including finance, manufacturing, retail and public sector, and lead the acquisition of top-tier regional clients. Solution Collaboration & Implementation Gain deep insight into clients’ business scenarios and digital transformation pain points. Align with internal product, technology and solution teams to deliver customized AI technology solutions, and drive POC validation, project delivery and long-term repeat business. Partner Ecosystem Building Expand and maintain a regional partner network covering channel distributors, system integrators, industry ISVs and industry associations. Build a diversified partnership ecosystem to scale market coverage, and co-create industry-specific vertical solutions with partners. Market Insight & Strategic Feedback Continuously monitor AI industry trends, competitive dynamics, regulatory policies and evolving market demands in assigned regions. Produce regular market analysis reports to inform decision-making on product iteration, pricing strategy and global corporate expansion. Cross-Regional Collaboration & Capability Enhancement Collaborate with global BD teams and headquarters functional departments, document and share regional business development best practices. Participate in joint pursuit of global key accounts, and support the build-out of the company’s global business system.

Education

Bachelor’s degree or above in Computer Science, Software Engineering, Business Administration, Marketing or related disciplines. Work Experience: Open to fresh graduates and final-year master’s students. Relevant internship or project experience in B2B technology sales, business development, or the AI & enterprise digitalization field is highly preferred. Candidates with full-time professional experience will be given priority consideration. Language Proficiency: Excellent command of English (listening, speaking, reading and writing) suitable for full-time professional use; proficiency in a second foreign language is a strong plus. Market Acumen: Familiar with the tech innovation ecosystem and commercial operation logic of key overseas markets; in-depth understanding of the industrial landscape, corporate decision-making patterns and industry development trends in target regions; foundational knowledge of cross-border business policies and compliance requirements. Core Competencies: Strong cross-cultural communication, commercial negotiation and resource integration skills, with proven ability to independently manage full-cycle client engagements. Results-driven, resilient under pressure, and adaptable to cross-timezone collaboration and a global work pace. Preferred Qualifications： Established enterprise-level client resources and channel networks in key overseas markets; prior experience at leading technology companies, AI vendors, consulting firms or industry organizations. Proven track record in sales or business development for generative AI, large language models (LLMs) or enterprise AI solutions, with successful experience developing emerging overseas markets from scratch. Familiarity with cross-border data compliance frameworks and industry regulatory regimes in major overseas markets. Full-cycle ownership experience delivering seven-figure B2B technology projects independently.