Client Service Specialist (HR Tech)

Location: Utah, United States; hybrid with at least three in-office days per week. Training requires in-office attendance for approximately 3–4 weeks.

Company

hirify.global develops a people intelligence platform that provides HR software for hiring, performance management, time tracking, onboarding, and applicant tracking.

What you will do

• Provide customer service through phone, email, and chat.
• Navigate hirify.global products to identify the source of client issues and provide clear solutions.
• Guide clients through performance management, time tracking, onboarding, and applicant tracking features.
• Resolve complex questions creatively while maintaining strong client satisfaction.
• Keep current with new product features and use them to maximize client value.
• Support upselling and customer retention activities.

Requirements

• Ability to work in the Utah office at least three days per week and attend in-office training.
• 1–2 years of customer service or technical troubleshooting experience.
• Strong interpersonal, written, and verbal communication skills.
• Experience assisting customers by phone and explaining complex issues clearly.
• Strong attention to detail, resilience, initiative, and ability to work in a fast-paced, metric-oriented environment.
• Typing speed of at least 40 words per minute and articulate English communication.

Culture & Benefits

• Full-time schedule from 9 a.m. to 6 p.m., Monday through Friday, with no nights or weekends.
• Comprehensive health, life, and disability insurance.
• Four weeks of vacation, 12 company holidays, parental leave, and volunteer time off.
• 401(k) plan with up to a 6% company match.
• $2,000 paid vacation bonus and access to an employee assistance program through Headspace.
• Supportive, values-driven culture with professional development opportunities.

Hiring process

• Employment is contingent on passing background and credit checks.
• Recruiters and hiring managers maintain human oversight of all selection decisions, with AI used to assist in processing candidate data.