Senior Client Solutions Engineer (Data Center)

Location: Hybrid in Nashville or Memphis, Tennessee, United States

Salary: $230,000–$250,000 per year in on-target earnings, including base salary and applicable target bonus

Company

Builds platforms for digital business using cloud infrastructure, automation, analytics, and software delivery to support enterprise digital transformation.

What you will do

• Lead technical pre-sales campaigns and qualify opportunities based on client requirements, decision processes, and funding.
• Present technical briefings, lab demonstrations, events, user groups, conferences, and forums for clients and partners.
• Position consulting engagements and services, drive conversions to additional solutions, and maximize opportunity impact across the assigned geography.
• Act as a subject matter expert in one or more data center technologies and lead solution verification and bill-of-materials reviews.
• Coach and mentor team members on solution knowledge, technical acumen, and pre-sales skills.
• Work with practice directors and internal teams to improve efficiencies and develop new solutions and offerings.

Requirements

• Bachelor's degree in Computer Science, Engineering, or an equivalent field.
• 4+ years of pre-sales and data center experience.
• Experience serving as a technical lead in pre-sales sales campaigns.
• Extensive knowledge of one or more data center solutions, including storage, networking, compute, virtualization, data center management and automation, or security.
• Strong presentation, communication, analytical, problem-solving, interpersonal, and influencing skills.
• Ability to work independently and collaboratively in customer and partner environments.

Culture & Benefits

• Culture focused on belonging, diversity, and inclusion.
• Access to a multi-million-dollar technology lab.
• Cross-department training and development opportunities.
• Certification and credential sponsorship.
• Medical, dental, and vision insurance, 401(k), paid holidays, paid time off, and paid parental and caregiver leave.
• Artificial intelligence may support parts of the hiring process, while final decisions remain with human reviewers.