The Sales & Business Development Executive – Global is a pivotal role for a results-driven commercial leader with extensive customer-facing experience. You will be responsible for identifying and closing strategic opportunities, cultivating trusted relationships with ecosystem partners, and laying the foundation for long-term success in your assigned region.
We are actively seeking top-tier talent across all regions, including the US, Europe, the Middle East, and APAC. Please highlight in your resume which region you believe you can contribute to most significantly and why.
Identify and drive new business opportunities with cloud providers, sovereign AI initiatives, large enterprises, and AI-native startups.
Lead full-cycle sales engagements from prospecting and technical/business qualification to proposal development, negotiation, and contract closure.
Collaborate closely with our technical teams to support POCs, benchmarking, and solution deployments, ensuring customer success
Develop and manage strategic partnerships with government-backed innovation programs, system integrators, OEMs, and regional cloud platforms.
Engage with local partners for co-selling and distribution support.
Represent FuriosaAI at key industry events, AI summits, and strategic partner meetings, elevating our brand and presence.
Act as the local face of FuriosaAI, working closely with our HQ and US teams to align messaging, resources, and customer success initiatives.
Share vital regional insights and customer feedback to inform our global product roadmap and go-to-market strategy.
Work closely with Product, Engineering, and Marketing to share regional insights and customer feedback
Foster a performance-driven, customer-obsessed culture in the region
Set team goals and execution plans aligned with global GTM strategy
8+ years of experience in enterprise sales, business development, or strategic partnerships within the AI/ML, cloud infrastructure, or semiconductor industries.
Demonstrated success in closing complex B2B deals and navigating multi-stakeholder enterprise and, where applicable, government environments.
Strong understanding of the AI ecosystem, including AI model trends, cloud deployment models, and underlying infrastructure needs.
Fluent in English; proficiency in additional regional languages (e.g., Arabic, Mandarin, Japanese, German, French, etc.) is highly preferred for regional focus.
Bachelor’s degree in a technical or business discipline, or equivalent practical experience.
Regional leadership experience, including direct team management or significant multi-country engagement, particularly in launching or scaling new go-to-market functions in high-growth startup environments.
Strong network across key global markets (e.g., in the US, major European tech hubs, GCC region, Singapore, India, Australia, etc.).
Experience working with or selling to sovereign AI/cloud initiatives, public sector entities, or digital transformation offices.
A self-starter with strong cultural awareness and the ability to operate independently and effectively in diverse, cross-border startup environments.
A genuine passion for working with cross-border teams and helping define a new category of AI infrastructure.
Top Skills
What We Do
FuriosaAI designs and develops data center accelerators for the most advanced AI models and applications. Our mission is to make AI computing sustainable so everyone on Earth has access to powerful AI. Our Background Three misfit engineers with each from HW, SW and algorithm fields who had previously worked for AMD, Qualcomm and Samsung got together and founded FuriosaAI in 2017 to build the world’s best AI chips. The company has raised more than $100 million, with investments from DSC Investment, Korea Development Bank, and Naver, the largest internet provider in Korea. We have partnered on our first two products with a wide range of industry leaders including TSMC, ASUS, SK Hynix, GUC, and Samsung. FuriosaAI now has over 140 employees across Seoul, Silicon Valley, and Europe. Our Approach We are building full stack solutions to offer the most optimal combination of programmability, efficiency, and ease of use. We achieve this through a “first principles” approach to engineering: We start with the core problem, which is how to accelerate.
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