Job Details

Client Partner Executive - AI Infrastructure

An emerging AI-native cloud platform is scaling its U.S. go-to-market engine and needs a seasoned commercial leader who can stand at the crossroads of GPU-powered infrastructure, complex enterprise buying cycles, and hyperscale customer expectations. Reporting directly to the executive team, you will manage senior-level conversations that translate cutting-edge architecture into business outcomes while guiding pricing and deal structure on eight- and nine-figure opportunities.

Why Join?

• The company offers a competitive base, meaningful equity participation, and full medical, dental, and vision coverage. Exact ranges are calibrated to match Bay Area market benchmarks and will be discussed early in the interview process.

What You'll Do

• Lead C-suite and VP-level engagements with hyperscalers and large cloud buyers, setting the tone for solution scope, commercial terms, and long-range partnership strategy.
• Partner with in-house architects to articulate GPU cluster, storage, and network designs in language that resonates with procurement and finance stakeholders.
• Negotiate on pricing, contract vehicles, service-level benchmarks, and capacity-planning milestones, balancing margin goals with customer value.
• Develop win/loss maps, executive relationship matrices, and expansion road-maps that turn first wins into enterprise-wide footprints.
• Capture field intelligence on competitive moves, buyer objections, and emerging workload trends to refine messaging and product/feature prioritization.

Required Qualifications

• 10+ years leading customer-facing roles in cloud infrastructure, AI platforms, servers, storage, or adjacent domains.
• Credibility selling servers, storage, GPUs, or cloud platforms to hyperscalers or Tier-1 enterprises; backgrounds with OEMs (Dell, HPE, Super Micro, Lenovo, etc.) or silicon providers (NVIDIA, AMD) are highly valued.
• Demonstrated success managing the full customer life-cycle - from discovery through contract signature and initial deployment - on transactions exceeding $10 M ARR or equivalent CAPEX.
• Fluency in modern AI / ML infrastructure concepts (Kubernetes, high-bandwidth fabrics, object storage, observability) sufficient to mentor peers and challenge architects constructively.
• Gravitas, storytelling ability, and a data-driven approach to relationship management; able to travel across the West Coast for in-person sessions as needed.

Preferred

• Prior experience launching AI, GPU, or accelerated computing offerings.
• Existing senior relationships inside Bay-Area hyperscaler or enterprise infrastructure accounts.
• Background spanning both mature OEMs and high-growth start-ups.

About Blue Signal:

Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at bit.ly/46Gs4yS