DataCenter Sales

Position-     Business Development Lead - AI Infrastructure & DataCenter Services

Location-  Bay Area, CA or Dallas, TX

Interview-  Phone and Skype

Duration-    Full-Time Opportunity

Role Overview:

Our Exclusive Client is an AI Datacenter and cloud services company, providing datacenter services and operating a large fleet of high‑performance GPU infrastructure designed for AI/ML training, inference, and generative AI workloads. We are seeking a Business Development Lead – AI Infrastructure to drive growth by sourcing, structuring, and closing AI infrastructure opportunities.

This leader will work closely with AI startups, system integrators (SIs), cloud/ISV partners, and enterprise customers to build long‑term alliances and translate AI demand into sustained GPU and datacenter utilization.

The role combines strategic ecosystem building with hands‑on deal execution in a fast‑growing AI infrastructure market.

Key Responsibilities:

1. AI Infrastructure Business Development

• Identify, qualify, and close opportunities for GPU compute, AI clusters, managed AI platforms, and AI datacenter services
• Drive adoption of GPU capacity for:
• GenAI model training and fine‑tuning
• Inference platforms
• AI SaaS and AI-native startups
• Enterprise AI transformation programs
• Own the full sales lifecycle: opportunity sourcing → solution shaping → commercial negotiation → closure

2. Startup & AI Ecosystem Engagement

• Build deep relationships with AI/ML startups, scale‑ups, and founders
• Position the Client as a preferred AI infrastructure partner for startups graduating from cloud to dedicated GPU infrastructure
• Design startup‑friendly offerings (credits, ramp‑up models, co‑marketing, GTM partnerships)

3. SI & Partner Alliances

• Forge strategic partnerships with:
• Global and regional System Integrators (SIs)
• AI solution providers and MLOps vendors
• ISVs building AI platforms and applications
• Enable partners with reference architectures, pricing constructs, and joint GTM motions
• Support co‑selling and partner‑led pipeline creation

4. Enterprise & GCC Opportunities

• Work with enterprises, GCCs, and digital transformation leaders to source:
• AI factory deployments
• Private / sovereign AI infrastructure
• Hybrid AI cloud datacenter models
• Collaborate with internal solution architecture and delivery teams to build compelling proposals

5. Market Intelligence & Strategy

• Track AI infrastructure demand trends, GPU utilization patterns, and competitive landscape
• Provide input into:
• Capacity planning and GPU roadmap
• Pricing and commercial models
• New service offerings (managed AI, sovereign AI, industry‑specific stacks)

6. Internal Collaboration

• Work closely with:
• Datacenter operations
• AI platform and engineering teams
• Finance and commercial teams
• Ensure customer commitments align with capacity, SLAs, and margin objectives

Success Metrics (KPIs):

• Revenue and margin from AI infrastructure deals
• GPU capacity utilization and ramp‑up velocity
• Qualified pipeline from startups, SIs, and partners
• Number and quality of strategic alliances formed
• Deal size, deal velocity, and customer retention

Required Qualifications:

• 10–15 years of experience in business development, sales, or partnerships in one or more of:
• AI infrastructure
• Cloud services
• Datacenters
• HPC / GPU computing
• Proven track record of selling infrastructure‑led solutions (IaaS, GPUaaS, private cloud, AI platforms)
• Strong understanding of:
• AI/ML workloads and GenAI economics
• GPU platforms (NVIDIA, AMD, etc.)
• AI training vs inference requirements
• Experience working with startups, SIs, and enterprise customers
• Ability to operate at both strategic and execution levels

Preferred / Nice‑to‑Have:

• Existing relationships with AI startups, VC ecosystem, or accelerator programs
• Experience with sovereign cloud, regulated industries, or government AI programs
• Exposure to MLOps platforms, AI frameworks, or AI software stacks
• Prior role in scaling a new infrastructure or platform business

Personal Attributes:

• Entrepreneurial mindset with strong ownership
• Comfortable in ambiguity and fast‑growth environments
• Strong commercial acumen and negotiation skills
• Credible advisor to CTOs, CIOs, and AI leaders
• Excellent communication and ecosystem‑building skills

Thanks,

Akshat Gupta

Senior Executive Search Consultant