AI Data Center Business Development Manager at SK hynix America

San Jose, California, United States -

Full Time

Start Date

Immediate

Expiry Date

19 May, 26

Salary

162000.0

Posted On

18 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Business Development, Commercialization Strategy, Testbed-as-a-Service (TBaaS), Monetization Strategy, Partnership Frameworks, RACI Frameworks, GPU-as-a-Service (GPUaaS), Financial Modeling, Business Case Development, Ecosystem Development, Negotiation, Stakeholder Management, Go-to-Market Strategy, Cloud Economics, AI Infrastructure, Subscription Services

Industry

Semiconductor Manufacturing

Description

Job Title: AI Data Center Business Development Manager Office Location: San Jose, CA Job Type: Full-Time Work Model: Onsite About SK hynix America At SK hynix America, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK hynix America, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change – we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. About This Role: 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. 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 Minimum Qualifications: 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 Preferred Qualifications: 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. Requirement: Authorized to work in the US Benefits: Top Tier health insurance at no employee cost Paid day offs: PTO + Company Holidays + Happy Fridays Paid Parental Leave Program 401k Matching Educational reimbursement up to $10,000 per year Donation Matching and volunteering opportunities Corporate discount programs Free Breakfast/Lunch/Dinner provided to employees Equal Employment Opportunity: SKHYA is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees and prohibit discrimination and harassment of any type without regard to race, sex, pregnancy, sexual orientation, religion, age, gender identity, national origin, color, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. Compensation: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. Pay within the provided range varies by work location and may also depend on job-related skills and experience. Your Recruiter can share more about the specific salary range for the job location during the hiring process. Pay Range $130,000—$162,000 USD

Responsibilities

This role will lead the commercialization and monetization strategy for SK AI's Data Center Testbed, focusing on transforming technical infrastructure into viable business models like Testbed-as-a-Service (TBaaS). Responsibilities include architecting new revenue-generating business models through partnerships and establishing organizational frameworks across SK Group companies.