Business Development & Sales - US

FuriosaAI

$100K — $150K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years in quota-carrying enterprise sales with a focus on technical infrastructure
  • Consistent 100%+ quota attainment in 2 out of the last 3 years
  • Proven track record in net-new logo acquisition
  • Established relationships with US infrastructure buyers in the AI sector
  • Experience closing complex enterprise deals involving multiple stakeholders
  • Enthusiastic about selling newer technology against established products
  • US work authorization and willingness to travel as needed

Responsibilities

  • Own the full-cycle US enterprise sales process from prospecting to deal closure
  • Build new pipelines at AI labs, hyperscalers, and large enterprises
  • Navigate long, complex buying cycles with multiple stakeholders
  • Partner with Solutions Architects to align commercial strategy with technical evaluations
  • Identify and develop strategic partnerships with OEMs and channel partners
  • Represent the company at key AI events and executive briefings
  • Provide US market intelligence to the product and engineering teams in Seoul

Benefits

  • Opportunity to work with a cutting-edge AI product in mass production
  • Engagement with a global product development team
  • Networking opportunities at high-profile industry events
  • Involvement in strategic partnership development
  • Access to innovative AI and ML technologies
  • Potential influence on product roadmap and go-to-market strategies
Full 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


Contact

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