Senior Account Director – Hyperscalers (AI Infrastructure) (Mountain View)
GMI Cloud, Mountain View, California, United States, 94039
About GMI Cloud
GMI Cloud is a fast-growing AI infrastructure company backed by Headline VC and one of only six cloud providers worldwide to earn NVIDIA’s prestigious Reference Platform Cloud Partner designation .
We are operating hundreds of megawatts of AI-ready data center capacity across North America and a growing AI Factory footprint in Asia, delivering a full spectrum of services from GPU compute service to AI model inference API solutions. As an NVIDIA six global Reference Platform Cloud Partner, our infrastructure meets the highest standards for performance, security, and scalability in AI deployments.
We empower AI startups and enterprises to “build AI without limits,” providing everything they need to prototype, train, and deploy AI models quickly and reliably.
Role Overview The
Senior Account Director – Hyperscalers
owns GMI Cloud’s relationships with: Microsoft Azure AI Infrastructure Google Global DC / 3rd-Party DC Ops Meta Data Center Strategy & Planning Anthropic Infrastructure & Capacity Delivery Oracle Cloud Infrastructure (OCI) DC Planning OpenAI Compute Infrastructure Strategy and other hyperscaler AI infrastructure teams.
Your mission is to drive
multi-year, multi-MW, take-or-pay capacity agreements , enabling those organizations to scale AI compute with GMI’s GPU cloud and data center platform. This is a highly strategic role requiring deep industry knowledge, credibility, and a proven ability to work with Director–VP level infrastructure leaders.
What You Will Do 1. Build and own relationships with hyperscaler infrastructure decision-makers Engage Director/VP-level leaders in AI infra, DC planning, capacity engineering, and compute procurement. Serve as a trusted partner on AI infrastructure scaling, budget cycles, and long-term planning. 2. Drive multi-year strategic GPU capacity deals Structure and negotiate
multi-MW GPU cluster
contracts across H200, B200, B300, GB200, GB300. Lead offer design: capacity reservations, take-or-pay agreements, global region planning. 3. Navigate hyperscaler procurement and internal workflows Understand vendor onboarding, RFP/RFQ cycles, security reviews, compliance, and infra governance. Work closely with engineering, infra ops, DC build teams, and finance stakeholders on the customer side. 4. Partner internally with GMI SA / Infra / Ops / DC teams Align customer requirements with GMI’s global capacity roadmap. Coordinate technical validation, POC, readiness checks, and deployment schedules. Ensure smooth execution from contracting to delivery. 5. Drive account growth and long-term partnerships Develop joint roadmaps with hyperscalers for future MW expansion. Build multi-region execution plans across US West, Central, East and APAC/TW AI factories. Own quarterly business reviews, strategic planning, and long-term renewals.
What We’re Looking For
Experience & Track Record 10+ years
in AI cloud, hyperscale infrastructure, data center, HPC, or GPU cloud industries. Proven success closing
large-scale infrastructure or multi-year capacity deals . Existing relationships or prior work with hyperscaler DC / infra teams is a
major plus .
Industry Background (ideal pools) Experience at one or more of the following: GPU Cloud / AI Compute Energy-to-AI & DC Operators Global DC & Colo Providers
Technical & Business Skills Strong understanding of
AI compute , GPU roadmaps, cluster architecture, IB/RoCE networks, and DC power/cooling fundamentals. Familiar with hyperscaler
capacity planning, multi-year budgeting, procurement, vendor management , and infra governance models. Ability to translate complex technical requirements into clear commercial agreements.
Soft Skills Executive communication at Director–VP level. Ability to influence cross-functional stakeholders across engineering, infra ops, DC, and finance. High integrity, low-ego, strategic, relationship-driven mindset.
Success Metrics MW of contracted GPU capacity (take-or-pay / reserved capacity). Multi-year revenue from hyperscaler portfolio. Region coverage and expansion (US + APAC/TW). Deal velocity and execution quality. Strategic depth of customer partnership.
Location & Travel Bay Area based (preferred). ~10% travel to customer sites, DC partners, and industry events.
We are operating hundreds of megawatts of AI-ready data center capacity across North America and a growing AI Factory footprint in Asia, delivering a full spectrum of services from GPU compute service to AI model inference API solutions. As an NVIDIA six global Reference Platform Cloud Partner, our infrastructure meets the highest standards for performance, security, and scalability in AI deployments.
We empower AI startups and enterprises to “build AI without limits,” providing everything they need to prototype, train, and deploy AI models quickly and reliably.
Role Overview The
Senior Account Director – Hyperscalers
owns GMI Cloud’s relationships with: Microsoft Azure AI Infrastructure Google Global DC / 3rd-Party DC Ops Meta Data Center Strategy & Planning Anthropic Infrastructure & Capacity Delivery Oracle Cloud Infrastructure (OCI) DC Planning OpenAI Compute Infrastructure Strategy and other hyperscaler AI infrastructure teams.
Your mission is to drive
multi-year, multi-MW, take-or-pay capacity agreements , enabling those organizations to scale AI compute with GMI’s GPU cloud and data center platform. This is a highly strategic role requiring deep industry knowledge, credibility, and a proven ability to work with Director–VP level infrastructure leaders.
What You Will Do 1. Build and own relationships with hyperscaler infrastructure decision-makers Engage Director/VP-level leaders in AI infra, DC planning, capacity engineering, and compute procurement. Serve as a trusted partner on AI infrastructure scaling, budget cycles, and long-term planning. 2. Drive multi-year strategic GPU capacity deals Structure and negotiate
multi-MW GPU cluster
contracts across H200, B200, B300, GB200, GB300. Lead offer design: capacity reservations, take-or-pay agreements, global region planning. 3. Navigate hyperscaler procurement and internal workflows Understand vendor onboarding, RFP/RFQ cycles, security reviews, compliance, and infra governance. Work closely with engineering, infra ops, DC build teams, and finance stakeholders on the customer side. 4. Partner internally with GMI SA / Infra / Ops / DC teams Align customer requirements with GMI’s global capacity roadmap. Coordinate technical validation, POC, readiness checks, and deployment schedules. Ensure smooth execution from contracting to delivery. 5. Drive account growth and long-term partnerships Develop joint roadmaps with hyperscalers for future MW expansion. Build multi-region execution plans across US West, Central, East and APAC/TW AI factories. Own quarterly business reviews, strategic planning, and long-term renewals.
What We’re Looking For
Experience & Track Record 10+ years
in AI cloud, hyperscale infrastructure, data center, HPC, or GPU cloud industries. Proven success closing
large-scale infrastructure or multi-year capacity deals . Existing relationships or prior work with hyperscaler DC / infra teams is a
major plus .
Industry Background (ideal pools) Experience at one or more of the following: GPU Cloud / AI Compute Energy-to-AI & DC Operators Global DC & Colo Providers
Technical & Business Skills Strong understanding of
AI compute , GPU roadmaps, cluster architecture, IB/RoCE networks, and DC power/cooling fundamentals. Familiar with hyperscaler
capacity planning, multi-year budgeting, procurement, vendor management , and infra governance models. Ability to translate complex technical requirements into clear commercial agreements.
Soft Skills Executive communication at Director–VP level. Ability to influence cross-functional stakeholders across engineering, infra ops, DC, and finance. High integrity, low-ego, strategic, relationship-driven mindset.
Success Metrics MW of contracted GPU capacity (take-or-pay / reserved capacity). Multi-year revenue from hyperscaler portfolio. Region coverage and expansion (US + APAC/TW). Deal velocity and execution quality. Strategic depth of customer partnership.
Location & Travel Bay Area based (preferred). ~10% travel to customer sites, DC partners, and industry events.