DataCenter Sales

Talentstra; Dallas (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Talentstra is seeking a Business Development Lead for AI Infrastructure in AI datacenter services, with Bay Area, CA or Dallas, TX locations. You will drive growth by sourcing, structuring, and closing AI infrastructure opportunities, working with startups, SIs, cloud/ISV partners, and enterprise customers to maximize GPU utilization.

The role blends strategic ecosystem building with hands-on deal execution and requires 10–15+ years in BD, a track record in IaaS/GPUaaS, and broad relationships

Qualifications

• 10–15+ years in business development, sales, or partnerships in AI infrastructure, datacenters, or HPC.
• Proven track record selling infrastructure-led solutions (IaaS, GPUaaS, private cloud).
• Strong understanding of AI/ML workloads and GenAI economics.
• Experience with startups, SIs, and enterprise customers.
• Ability to operate at both strategic and execution levels.
• 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.

Responsibilities

• AI Infrastructure Business Development: Identify, qualify, and close opportunities for GPU compute, AI clusters, managed AI platforms, and AI datacenter services.
• Startup & AI Ecosystem Engagement: Build relationships with AI/ML startups, scale-ups, and founders.
• SI & Partner Alliances: Forge partnerships with SIs, AI solution providers, and ISVs; enable with reference architectures and joint GTM motions.
• Internal Collaboration: Work with datacenter operations, AI platform teams, and finance to ensure capacity, SLAs, and margins.
• Track demand trends, GPU utilization, and competitive landscape; provide input on pricing, roadmap, and new offerings.

Skills

Strategic business development

Relationship building

Negotiation

Partner ecosystems

Startup engagement

Market analysis

Job description

Position-Business Development Lead - AI Infrastructure & DataCenter Services

Location-Bay Area, CA or Dallas, TX

Interview-Phone and Skype

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
• 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

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
• Work with enterprises, GCCs, and digital transformation leaders to source:
• AI factory deployments
• Collaborate with internal solution architecture and delivery teams to build compelling proposals
• 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
• 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
• 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
• Experience working with startups, SIs, and enterprise customers
• Ability to operate at both strategic and execution levels
• 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