Position- Business Development Lead - AI Infrastructure & DataCenter Services
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Location- Bay Area, CA or Dallas, TX
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Interview- Phone and Skype
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Duration- Full-Time Opportunity
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Role Overview:
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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.
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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.
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The role combines strategic ecosystem building with hands‑on deal execution in a fast‑growing AI infrastructure market.
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Key Responsibilities:
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1. AI Infrastructure Business Development
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- Identify, qualify, and close opportunities for GPU compute, AI clusters, managed AI platforms, and AI datacenter services
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- Drive adoption of GPU capacity for:
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- GenAI model training and fine‑tuning
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- Inference platforms
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- AI SaaS and AI-native startups
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- Enterprise AI transformation programs
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- Own the full sales lifecycle: opportunity sourcing → solution shaping → commercial negotiation → closure
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2. Startup & AI Ecosystem Engagement
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- Build deep relationships with AI/ML startups, scale‑ups, and founders
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- Position the Client as a preferred AI infrastructure partner for startups graduating from cloud to dedicated GPU infrastructure
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- Design startup‑friendly offerings (credits, ramp‑up models, co‑marketing, GTM partnerships)
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3. SI & Partner Alliances
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- Forge strategic partnerships with:
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- Global and regional System Integrators (SIs)
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- AI solution providers and MLOps vendors
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- ISVs building AI platforms and applications
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- Enable partners with reference architectures, pricing constructs, and joint GTM motions
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- Support co‑selling and partner‑led pipeline creation
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4. Enterprise & GCC Opportunities
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- Work with enterprises, GCCs, and digital transformation leaders to source:
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- AI factory deployments
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- Private / sovereign AI infrastructure
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- Hybrid AI cloud + datacenter models
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- Collaborate with internal solution architecture and delivery teams to build compelling proposals
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5. Market Intelligence & Strategy
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- Track AI infrastructure demand trends, GPU utilization patterns, and competitive landscape
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- Provide input into:
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- Capacity planning and GPU roadmap
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- Pricing and commercial models
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- New service offerings (managed AI, sovereign AI, industry‑specific stacks)
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6. Internal Collaboration
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- Work closely with:
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- Datacenter operations
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- AI platform and engineering teams
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- Finance and commercial teams
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- Ensure customer commitments align with capacity, SLAs, and margin objectives
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Success Metrics (KPIs):
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- Revenue and margin from AI infrastructure deals
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- GPU capacity utilization and ramp‑up velocity
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- Qualified pipeline from startups, SIs, and partners
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- Number and quality of strategic alliances formed
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- Deal size, deal velocity, and customer retention
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Required Qualifications:
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- 10–15+ years of experience in business development, sales, or partnerships in one or more of:
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- AI infrastructure
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- Cloud services
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- Datacenters
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- HPC / GPU computing
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- Proven track record of selling infrastructure‑led solutions (IaaS, GPUaaS, private cloud, AI platforms)
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- Strong understanding of:
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- AI/ML workloads and GenAI economics
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- GPU platforms (NVIDIA, AMD, etc.)
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- AI training vs inference requirements
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- Experience working with startups, SIs, and enterprise customers
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- Ability to operate at both strategic and execution levels
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Preferred / Nice‑to‑Have:
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- Existing relationships with AI startups, VC ecosystem, or accelerator programs
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- Experience with sovereign cloud, regulated industries, or government AI programs
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- Exposure to MLOps platforms, AI frameworks, or AI software stacks
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- Prior role in scaling a new infrastructure or platform business
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Personal Attributes:
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- Entrepreneurial mindset with strong ownership
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- Comfortable in ambiguity and fast‑growth environments
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- Strong commercial acumen and negotiation skills
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- Credible advisor to CTOs, CIOs, and AI leaders
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- Excellent communication and ecosystem‑building skills
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Thanks,
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Akshat Gupta
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Senior Executive Search Consultant