AI Data Center Business Development Manager

SK hynix America•San Jose, CA

2d•Onsite

About The Position

This role will lead the commercialization and monetization strategy for SK AI's Data Center Testbed, transforming technical infrastructure into viable business models including Testbed-as-a-Service (TBaaS) offerings. As a strategic member of the AI Infrastructure Solutions team, you will be responsible for architecting new business models that leverage our AI datacenter capabilities to generate revenue streams through partnership-based service offerings. This position requires a unique blend of strategic thinking, financial acumen, and ecosystem development expertise to design innovative contribution models—ranging from monetary investments and in-kind resources to equity partnerships—with technology solution providers. You will establish the organizational framework and RACI (Responsibility Assignment Matrix) across SK Group member companies while ensuring seamless execution of commercialization initiatives. The ideal candidate will possess deep understanding of cloud service economics, GPU-as-a-Service (GPUaaS) business models, and experience in structuring win-win partnership frameworks that drive sustainable ecosystem growth.

Requirements

Authorized to work in the US
Bachelor's degree in Business Administration, Economics, Engineering, or related field
Minimum of 8 years of experience in business strategy, corporate development, commercialization, or product management within cloud services, AI infrastructure, datacenter operations, or technology platform businesses
Proven track record of designing and launching new business models, particularly XaaS (Anything-as-a-Service) offerings, subscription services, or platform-based monetization strategies
Experience in structuring complex partnership arrangements including revenue sharing, equity investments, joint ventures, or in-kind contribution models
Strong financial modeling and business case development skills, with ability to measure partnership value and investment returns
Comprehensive understanding of cloud economics, AI market dynamics, and AI infrastructure commercialization trends
Ability to thrive in an ambiguous, start-up like environment where an entrepreneurial mindset, persistent execution, and ability to form relationships will drive your success
Exceptional negotiation, stakeholder management, and cross-functional leadership skills to align multiple SK Group entities with varying interests
Fluent(Native) in English; strong written and verbal communication skills for executive-level presentations

Nice To Haves

MBA with focus on Strategy, Finance, or Technology Management
Experience working within conglomerate environments or multi-stakeholder ecosystems, with demonstrated ability to navigate complex organizational structures and define business ownership/RACI frameworks
Fluent in Korean with ability to facilitate communication between US operations and Korea headquarters
Background in management consulting, investment banking, or corporate venture capital with focus on technology infrastructure or AI sectors
Technical understanding of AI datacenter operations, computing resource optimization
Network within the AI infrastructure ecosystem, including relationships with potential testbed users, GPU cloud providers, or AI solution vendors.

Responsibilities

Develop and drive the Testbed-as-a-Service (TBaaS) commercialization strategy, including service portfolio definition, pricing architecture, and revenue model design for AI datacenter technology solutions
Architect innovative business models and monetization strategies targeting AI datacenter solution partners, including subscription-based services, usage-based billing, and tiered partnership programs
Design and negotiate multi-dimensional partnership contribution frameworks with technology vendors, including monetary investments, in-kind resource contributions (hardware, software, engineering resources), equity sharing structures, and reciprocal value exchange models (give-and-take mechanisms)
Establish clear business ownership structures and RACI (Responsibility, Accountability, Consulted, Informed) frameworks across SK Group member companies to ensure effective collaboration and governance
Conduct comprehensive benchmarking of global GPU-as-a-Service (GPUaaS) and Infrastructure-as-a-Service (IaaS) providers (CoreWeave, Lambda Labs, cloud hyperscalers, etc.) to identify best practices, pricing benchmarks, and differentiation strategies applicable to SK AI's testbed commercialization
Create detailed business cases and financial models for testbed monetization initiatives, including ROI analysis, investment recovery plans, and long-term profitability projections
Lead cross-functional collaboration with legal, finance, and technical teams to structure partnership agreements, JV entities, and revenue-sharing contracts that align with SK Group's strategic objectives
Identify and cultivate relationships with potential anchor tenants and strategic partners for testbed utilization, ensuring optimal capacity utilization and ecosystem value creation
Develop go-to-market strategies and commercial roadmaps for new service offerings, working closely with SK Group affiliates to align business objectives and resource allocation