Senior Client Solutions Engineer (Cloud)

Location: Philadelphia, Pennsylvania; hybrid workplace

Compensation: $240,000–$280,000 per year in on-target earnings, including base salary and applicable target bonus.

Company

hirify.global builds digital business platforms using cloud infrastructure, automation, analytics, and software delivery services to support enterprise digital transformation.

What you will do

• Support Client Directors with technical presentations, solution design, and account strategy for existing and prospective clients.
• Own the technical aspects of sales campaigns and handoffs to consulting and services teams.
• Design, architect, and occasionally consult on solutions across cloud management and operations, security, data center infrastructure, and public cloud.
• Qualify opportunities, position consulting services, compare technical approaches, and determine whether to advance sales campaigns.
• Present technical briefings, lab demonstrations, events, user groups, conferences, and forums.
• Lead solution verification and bill-of-materials reviews while mentoring team members and collaborating with Practice Directors and subject-matter experts.

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 or automation, and security.
• Strong communication, presentation, analytical, problem-solving, interpersonal, and customer-focused skills.
• Ability to work independently, prioritize opportunities, influence stakeholders, and collaborate effectively with teams and partners.

Culture & Benefits

• Hybrid work environment with a focus on belonging, inclusion, and diverse perspectives.
• Access to a multi-million-dollar technology lab and cross-department training.
• Support for professional certifications and continued learning.
• Medical, dental, and vision insurance.
• 401(k), paid company holidays, paid time off, and paid parental and caregiver leave.
• Artificial intelligence may support parts of the hiring process, while final hiring decisions remain human-led.