What are the responsibilities and job description for the Senior Account Director – Hyperscalers (AI Infrastructure) position at Glint Tech Solutions?
Role Overview
We are supporting a fast-growing AI infrastructure and GPU cloud platform in the search for a Senior Account Director focused on hyperscaler and frontier AI accounts. This individual will own executive-level relationships with hyperscaler AI infrastructure, data center planning, and compute strategy teams, driving multi-year, multi-megawatt capacity agreements.
This is a highly strategic, quota-carrying role requiring deep industry credibility, strong commercial judgment, and the ability to operate at Director–VP level across complex, multi-stakeholder organizations.
Key Responsibilities
1. Hyperscaler Relationship Ownership
Build and maintain trusted relationships with Director- and VP-level leaders across AI infrastructure, data center planning, capacity engineering, and compute procurement teams
Act as a long-term strategic partner on AI compute scaling, capital planning, and infrastructure roadmaps
2. Strategic GPU Capacity Deal Leadership
Structure and close multi-year, multi-MW GPU capacity agreements
Lead commercial design including capacity reservations, take-or-pay structures, and regional deployment strategies
Support GPU cluster planning across next-generation platforms (e.g., H200, B200, GB-class systems)
3. Hyperscaler Procurement & Governance Navigation
Navigate complex hyperscaler procurement processes including vendor onboarding, RFP/RFQ cycles, security reviews, and compliance requirements
Coordinate across customer-side engineering, infrastructure operations, data center build teams, and finance stakeholders
4. Internal Cross-Functional Partnership
Align hyperscaler requirements with internal global capacity and deployment roadmaps
Coordinate technical validation, readiness checks, PoCs, and deployment schedules with solution architecture and infrastructure teams
Ensure smooth execution from contracting through delivery and scale-up
5. Long-Term Account Growth & Strategic Planning
Develop joint multi-year expansion roadmaps with hyperscaler partners
Support multi-region execution strategies across North America and Asia-Pacific
Own executive business reviews, strategic planning sessions, renewals, and long-term partnership development
Experience & Track Record
10 years of experience in AI cloud, hyperscale infrastructure, data centers, HPC, or GPU compute environments
Demonstrated success closing large-scale infrastructure, capacity, or multi-year commercial agreements
Prior relationships or direct experience working with hyperscaler data center or AI infrastructure teams strongly preferred
Industry Background (Preferred)
GPU cloud or AI compute platforms
Hyperscale or enterprise data center operators
Energy-to-AI, infrastructure platforms, or large-scale compute providers
Technical & Commercial Fluency
Strong understanding of AI compute architectures, GPU roadmaps, cluster design, high-speed networking, and data center power/cooling fundamentals
Familiarity with hyperscaler capacity planning, multi-year budgeting cycles, procurement frameworks, and vendor governance models
Ability to translate complex technical requirements into structured commercial agreements
Leadership & Communication
Executive-level communication skills with Director–VP stakeholders
Ability to influence cross-functional teams across engineering, infrastructure, operations, and finance
High-integrity, relationship-driven, strategic mindset with low ego and strong ownership
Success Metrics
Execution of multi-year, multi-MW capacity agreements
Depth and quality of hyperscaler executive relationships
Account expansion, renewals, and long-term partnership growth
Alignment between customer demand and global capacity deployment
We are supporting a fast-growing AI infrastructure and GPU cloud platform in the search for a Senior Account Director focused on hyperscaler and frontier AI accounts. This individual will own executive-level relationships with hyperscaler AI infrastructure, data center planning, and compute strategy teams, driving multi-year, multi-megawatt capacity agreements.
This is a highly strategic, quota-carrying role requiring deep industry credibility, strong commercial judgment, and the ability to operate at Director–VP level across complex, multi-stakeholder organizations.
Key Responsibilities
1. Hyperscaler Relationship Ownership
Build and maintain trusted relationships with Director- and VP-level leaders across AI infrastructure, data center planning, capacity engineering, and compute procurement teams
Act as a long-term strategic partner on AI compute scaling, capital planning, and infrastructure roadmaps
2. Strategic GPU Capacity Deal Leadership
Structure and close multi-year, multi-MW GPU capacity agreements
Lead commercial design including capacity reservations, take-or-pay structures, and regional deployment strategies
Support GPU cluster planning across next-generation platforms (e.g., H200, B200, GB-class systems)
3. Hyperscaler Procurement & Governance Navigation
Navigate complex hyperscaler procurement processes including vendor onboarding, RFP/RFQ cycles, security reviews, and compliance requirements
Coordinate across customer-side engineering, infrastructure operations, data center build teams, and finance stakeholders
4. Internal Cross-Functional Partnership
Align hyperscaler requirements with internal global capacity and deployment roadmaps
Coordinate technical validation, readiness checks, PoCs, and deployment schedules with solution architecture and infrastructure teams
Ensure smooth execution from contracting through delivery and scale-up
5. Long-Term Account Growth & Strategic Planning
Develop joint multi-year expansion roadmaps with hyperscaler partners
Support multi-region execution strategies across North America and Asia-Pacific
Own executive business reviews, strategic planning sessions, renewals, and long-term partnership development
Experience & Track Record
10 years of experience in AI cloud, hyperscale infrastructure, data centers, HPC, or GPU compute environments
Demonstrated success closing large-scale infrastructure, capacity, or multi-year commercial agreements
Prior relationships or direct experience working with hyperscaler data center or AI infrastructure teams strongly preferred
Industry Background (Preferred)
GPU cloud or AI compute platforms
Hyperscale or enterprise data center operators
Energy-to-AI, infrastructure platforms, or large-scale compute providers
Technical & Commercial Fluency
Strong understanding of AI compute architectures, GPU roadmaps, cluster design, high-speed networking, and data center power/cooling fundamentals
Familiarity with hyperscaler capacity planning, multi-year budgeting cycles, procurement frameworks, and vendor governance models
Ability to translate complex technical requirements into structured commercial agreements
Leadership & Communication
Executive-level communication skills with Director–VP stakeholders
Ability to influence cross-functional teams across engineering, infrastructure, operations, and finance
High-integrity, relationship-driven, strategic mindset with low ego and strong ownership
Success Metrics
Execution of multi-year, multi-MW capacity agreements
Depth and quality of hyperscaler executive relationships
Account expansion, renewals, and long-term partnership growth
Alignment between customer demand and global capacity deployment