Business Development & Sales

About the Role

With our flagship product RNGD in mass production, we are seeking a hunter-minded Business & Development Sales to create and pursue business opportunities in the US market. Working closely with a global product and development team, you will create pipelines amongst leading frontier AI labs and startups, hyperscalers, and large enterprises; owning the entire sales cycle from creating tangible prospects to closing deals.

• Own full-cycle US enterprise sales — prospecting, qualification, technical POC coordination, negotiation, procurement navigation, and contract close

• Build net-new pipeline at frontier AI labs, hyperscalers, and large enterprises running production AI workloads

• Navigate complex, multi-stakeholder buying committees across 6–12+ month cycles involving ML platform leads, infra VPs, CTOs, procurement, legal, and security

• Partner tightly with FuriosaAI Solutions Architects during technical evaluations — you set commercial strategy, they drive technical depth

• Identify and develop strategic partnerships with US-based OEMs, system integrators, and channel partners to extend reach

• Represent FuriosaAI at key US AI events (NeurIPS, SC, Hot Chips, GTC) and in executive briefings to build brand credibility

• Feed US market intelligence back to Seoul HQ product and engineering teams to inform roadmap and GTM positioning

• 7+ years of quota-carrying enterprise sales; at least 3 years in technical infrastructure — semiconductors, AI/ML platforms, cloud compute, networking, or storage

• 100%+ quota attainment in 2 of the last 3 years with presentable deal size and sales cycle length record

• Demonstrated net-new logo acquisition track record of creating new pipelines

• Existing US relationships with AI infrastructure buyers: ML platform leads, infra VPs, or CTOs at frontier labs, hyperscalers, or large AI-native enterprises

• Proven ability to close complex US enterprise deals with multi-stakeholder committees, technical POCs, and lengthy procurement processes

• Passionate and comfortable selling a newer accelerator platform against deeply entrenched incumbents

• Authorized to work in the US; able to travel domestically and overseas as needed

• Prior experience at an AI chip startup, GPU vendor, or cloud silicon team

• Existing network at US AI-native scale-ups and sovereign AI/government compute programs

• Familiarity with NPU/GPU accelerator ecosystems, LLM inference infrastructure, and AI data center architecture

• Experience coordinating across global engineering/product organizations

• Background in CS, EE, or related technology field

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