Senior Client Solutions Engineer (Cloud)

Location: Hybrid in San Diego, Los Angeles, San Francisco, Sacramento, San Ramon, or San Jose, California, United States

On-Target Earnings: $255,000–$300,000 per year, including base salary and applicable target bonus.

Company

hirify.global builds platforms for digital business by combining cloud infrastructure, automation, analytics, and software delivery for enterprise digital transformation.

What you will do

• Support Client Directors with technical presentations, solution design, and client-facing technical briefings.
• Own the technical aspects of sales campaigns and coordinate handoffs to consulting and services teams.
• Design, architect, size, and configure solutions across cloud management, operations, security, data center infrastructure, and public cloud.
• Build account strategies, identify technology and vendor partnerships, and qualify opportunities based on technical requirements, decision processes, and funding.
• Lead solution verification and bill of materials reviews for the assigned geography.
• Coach team resources and represent hirify.global at events, user groups, conferences, and technical forums.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or an equivalent field.
• 4+ years of pre-sales and data center experience.
• Technical lead experience in pre-sales sales campaigns.
• Extensive knowledge of one or more of storage, networking, compute, virtualization, data center management and automation, or security.
• Strong communication, presentation, analytical, problem-solving, interpersonal, and customer-focused skills.
• Ability to work independently, collaborate with teams and partners, and influence stakeholders under critical conditions.

Culture & Benefits

• Culture focused on belonging, diversity, and inclusion.
• Access to a multi-million-dollar technology lab and cross-department training.
• Support for certifications and continued professional development.
• Medical, dental, and vision insurance.
• 401(k), paid company holidays, paid time off, and paid parental and caregiver leave.
• AI tools may support parts of the hiring process, while final decisions remain human-made.