Hiring: Business Development & Sales - US Company: FuriosaAI Location: Santa Clara, CA Job Posted Time: 2026-09-02 17:59:20 Employment Type: Full-time Target Skills & Keywords: Enterprise Sales, AI Infrastructure, Semiconductors, AI/ML Platforms, Cloud Compute, Networking, Storage, Net-New Logo Acquisition, Pipeline Generation, Technical POCs, Multi-Stakeholder Sales, Hyperscalers, Frontier AI Labs, NPU/GPU Accelerators, LLM Inference, AI Data Center Architecture, Strategic Partnerships, Channel Partners Experience: - 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 - Proven ability to close complex US enterprise deals with multi-stakeholder committees, technical POCs, and lengthy procurement processes - Experience navigating 6–12+ month sales cycles involving ML platform leads, infra VPs, CTOs, procurement, legal, and security Required Skills: - 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 - 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 - Partner tightly with Solutions Architects during technical evaluations — set commercial strategy while they drive technical depth - Identify and develop strategic partnerships with US-based OEMs, system integrators, and channel partners - Represent the company at key US AI events (NeurIPS, SC, Hot Chips, GTC) and in executive briefings - Feed US market intelligence back to Seoul HQ product and engineering teams - Passionate and comfortable selling a newer accelerator platform against deeply entrenched incumbents Qualifications: - Authorized to work in the US; able to travel domestically and overseas as needed - Preferred: Prior experience at an AI chip startup, GPU vendor, or cloud silicon team - Preferred: Existing network at US AI-native scale-ups and sovereign AI/government compute programs - Preferred: Familiarity with NPU/GPU accelerator ecosystems, LLM inference infrastructure, and AI data center architecture - Preferred: Experience coordinating across global engineering/product organizations - Preferred: Background in CS, EE, or related technology field Compensation: Not specified Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!