销售副总裁 – AI基础设施
VP of Sales – AI Infrastructure
职位描述🚀
一家前沿的AI基础设施公司正在通过专为特定用途设计的平台，革新AI推理。这些平台结合了定制芯片、先进的系统软件和智能编排，旨在实现大规模性能与效率。该平台可满足最严苛的企业、云和超大规模AI工作负载需求。
公司正在寻找一位销售副总裁，负责北美市场的进入策略。这是一个高影响力、亲力亲为的领导职位，专注于开拓战略客户、推动早期客户合作，并与全球最大的AI消费者和基础设施提供商达成设计胜出。
此职位需要深厚的半导体和硬件销售经验，拥有成熟的客户网络，并具备在产品成熟前销售前瞻性技术的能力。
主要职责
- 负责并执行北美市场进入策略
- 与超大规模企业、云服务提供商、原始设备制造商（OEM）和半导体合作伙伴建立并发展战略关系
- 推动复杂的基础设施级销售流程，包括早期试点项目（PoC）、架构评估、设计胜出（DWIN）和生产部署
- 领导产品未发布和未流片阶段的客户合作，销售路线图和长期平台愿景
- 在竞争激烈的AI硬件和基础设施市场中清晰传达差异化价值
- 建立并管理结构化的市场进入计划，包括客户映射、关键利益相关者、优先事项和管道预测
- 管理试点项目管道，并将技术验证里程碑与客户购买周期对齐
- 与工程和产品团队跨职能协作，确保客户需求与路线图执行一致
- 与高级工程负责人、产品团队和高管自信地沟通
- 在主要行业活动和战略客户论坛上代表公司
必备要求 ✅
1. 行业背景
- 10年以上B2B/企业销售经验，其中5年以上在半导体和硬件领域的高级职位（总监/副总裁）
- 在销售复杂基础设施系统方面有成功记录，包括芯片、网卡（NIC）、AI加速器、网络、服务器或全栈平台
- 优先考虑具有网卡和网络技术经验的人选
2. 客户网络（首要重点）
与以下决策者有已建立、活跃的关系：
- 超大规模企业：Meta、Microsoft、Google、Amazon
- 云服务提供商：Oracle、IBM 及类似企业
- 半导体领导者：NVIDIA、AMD、Arm、Qualcomm
- 原始设备制造商（OEM）/原始设计制造商（ODM）：Dell
查看英文原文
About the Role🚀
A cutting-edge AI infrastructure company is transforming AI inference through purpose-built platforms that combine custom silicon, advanced system software, and intelligent orchestration. Designed for performance and efficiency at scale, the platform addresses the most demanding enterprise, cloud, and hyperscale AI workloads.
The company is seeking a VP of Sales to lead go-to-market efforts across North America. This is a high-impact, hands-on leadership role focused on opening strategic accounts, driving early customer engagements, and securing design wins with the world’s largest AI consumers and infrastructure providers.
This role requires deep semiconductor and hardware sales expertise, an established customer network, and the ability to sell visionary technology before product maturity.
Key Responsibilities
- Own and execute the North America go-to-market strategy
- Open and develop strategic relationships with hyperscalers, CSPs, OEMs, and semiconductor partners
- Drive complex, infrastructure-level sales cycles including early PoCs, architectural evaluations, design wins (DWINs), and production deployments
- Lead pre-product and pre–tape-out customer engagements, selling roadmaps and long-term platform vision
- Clearly articulate differentiated value in a competitive AI hardware and infrastructure market
- Build and manage a structured GTM plan, including account mapping, key stakeholders, priorities, and pipeline forecasting
- Manage PoC pipelines and align technical validation milestones with customer buying cycles
- Work cross-functionally with Engineering and Product to align customer requirements with roadmap execution
- Engage confidently with senior engineering leaders, product teams, and C-level executives
- Represent the company at major industry events and strategic customer forums
MUST-HAVE Requirements ✅
1. Industry Background
- 10+ years in B2B/enterprise sales, 5+ in senior roles (Director/VP) in semiconductors and hardware
- Proven track record selling complex infrastructure systems, including chips, NICs, AI accelerators, networking, servers, or full-stack platforms
- Strong preference for experience with NICs and networking technologies
2. Customer Network (Top Priority)
Established, active relationships with decision-makers at:
- Hyperscalers: Meta, Microsoft, Google, Amazon
- Cloud Service Providers: Oracle, IBM, and similar
- Semiconductor Leaders: NVIDIA, AMD, Arm, Qualcomm
- OEMs / ODMs: Dell, HPE, Lenovo, Supermicro
👉 Ability to open doors and initiate executive-level conversations from day one is critical.
3. Early-Stage Sales Experience
·
Demonstrated success leading pre-product and early-stage sales efforts, including:
- Early PoCs and technical evaluations
- Engagements prior to tape-out
- Selling future roadmaps and architectural shifts
- Evangelizing disruptive, emerging technology
Nice-to-Have 🌟
- Experience at companies such as Cerebras, SambaNova, Tenstorrent, NVIDIA, D-Matrix, Marvell, Broadcom, HPE, Dell, or Lenovo
- Background in early-stage product launches and startup GTM
- Familiarity with RISC-V, chiplets, or edge AI systems
Why This Role
This role offers a front-row seat in shaping the commercial success of next-generation AI infrastructure. It combines executive-level influence, deep technical engagement, and the opportunity to drive transformational deals with the world’s largest AI and cloud platforms.
Originally posted on Himalayas