Description and Requirements
SSDS (Senior Solutions & Services Executive) - Neo Cloud
Role Summary
Key Responsibilities
- Drive Neo Cloud business growth by developing and executing strategic sales plans across targeted enterprise and service provider accounts.
- Identify, qualify, and close large-scale AI infrastructure, cloud, GPU, and data center opportunities.
- Engage with C-level executives and senior technology leaders to position Lenovo's Neo Cloud and AI infrastructure solutions.
- Develop executive-level business cases and value propositions for complex digital transformation initiatives.
- Collaborate with solution architects, technical specialists, alliance teams, and delivery organizations to create compelling customer solutions.
- Build and maintain strong relationships with hyperscalers, AI ecosystem partners, and data center stakeholders.
- Provide market intelligence and customer insights to influence Lenovo's Neo Cloud growth strategy.
- Lead strategic account planning and pipeline development to deliver sustainable revenue growth and long-term customer success.
Skills & Experience
Must-Have
- 12+ years of enterprise technology sales experience with a strong track record of closing complex, high-value opportunities.
- Deep expertise in data center infrastructure, cloud platforms, and AI infrastructure solutions.
- Strong understanding of NVIDIA technologies, GPU ecosystems, and AI workload requirements.
- Experience working for a hyperscaler, cloud provider, major infrastructure vendor, or large-scale technology services organization.
- Demonstrated success selling transformational solutions to enterprise, digital native, telecommunications, or service provider customers.
- Strong executive presence with the ability to influence C-level decision makers and senior business stakeholders.
- Proven ability to operate as a senior individual contributor while driving cross-functional collaboration and business outcomes.
Good-to-Have
- Experience working with AI factories, GPU-as-a-Service, cloud infrastructure, or high-performance computing environments.
- Knowledge of data center design considerations including cooling technologies, infrastructure components, and commercial models.
- Experience working with strategic alliances across hyperscaler and AI technology ecosystems.
- Understanding of emerging AI infrastructure market trends and enterprise adoption strategies.
Location & Work Model
Work Model: Hybrid working environment, subject to business requirements.


