Job Description
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, hyperscales, and large enterprises; owning the entire sales cycle from creating tangible prospects to closing deals.
What You’ll Do
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
Qualifications
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
Preferred Qualifications
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
