VP of Sales – AI Infrastructure

OnHires · Anguilla, Antigua and Barbuda, Aruba, Bahamas, Barbados, Belize, Bermuda, Bonaire, Sint Eustatius and Saba, Canada, Cayman Islands, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, El Salvador, Greenland, Grenada, Guadeloupe, Guatemala, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Pierre and Miquelon, Saint Vincent and the Grenadines, Sint Maarten (Dutch part), Trinidad and Tobago, Turks and Caicos Islands, United States, United States Minor Outlying Islands, Virgin Islands, British, Virgin Islands, U.S. · posted today ago

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About this role

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