Infrastructure Sales Learning Consultant

Purpose: Build the technical confidence and selling capability of Lenovo’s NA sales workforce in data-center infrastructure solution areas. This role requires strong facilitation skills, technical credibility, consultative selling expertise, and a passion for developing others.

Core responsibilities

• Facilitate technical training through virtual, in-person, and hybrid learning experiences.
• Teach complex infrastructure concepts in practical, customer-relevant terms for technical sellers and sales engineers.
• Deliver hands-on learning, including demonstrations, implementation scenarios, troubleshooting, labs, and technical workshops.
• Coach learners on applying technical knowledge during customer discovery, solution positioning, and technical sales conversations.
• Partner with technical SMEs and Learning & Development colleagues to develop curricula and learning assets that create effective learner experiences.
• Use learner feedback and performance signals to refine training and address capability gaps.
• Maintain current knowledge of infrastructure technologies, including servers, storage, virtualization, hybrid cloud, AI infrastructure, networking, and data center solutions.
• Stay informed on Lenovo solution portfolios, sizing tools, configuration resources, sales plays, and competitive positioning.

Required Qualifications:

• 7+ years in technical sales, sales engineering, solution architecture, or technical consulting.
• 2+ years facilitating technical training.
• Strong knowledge and experience with: VMware, Nutanix, Linux, Windows Server, x86 Servers, Enterprise Storage, Virtualization, Hyperconverged / Software Defined Infrastructure, Azure, Systems Management, Data Protection, Backup & Recovery

Preferred Qualifications:

• Working knowledge of: AI Infrastructure, High Performance Computing (HPC), SAP, SQL, NetApp, OpenStack, Hybrid Cloud, Containerization, Automation & Orchestration, Edge Computing, Enterprise Networking, Advanced Data Management
• Familiarity with / exposure to: Kubernetes, Ansible, Slurm, GPU Computing, AI Factory Architectures, Multi-Site Architectures, Active/Active Designs
• Hands-on implementation and troubleshooting experience.
• Ability to explain complex technology clearly, lead group discussion, and apply adult-learning practices.
• Relevant technical certifications; a technical degree and train-the-trainer credentials are preferred.

Travel: Yes, 20%

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.