Jobgether

Jobgether

Client Support Specialist-Salon and Spa space

US

Sponsorship not specifiedDetected 23 hours ago
ComplianceSalesforceCustomer SupportCommunicationProblem SolvingAdaptability

About the role

  • This role is an excellent opportunity for an early-career professional who enjoys technology, customer interaction, and problem-solving.
  • With structured training and opportunities for growth, this role is ideal for someone eager to expand their technology and communication expertise.

Requirements

  • 0-5 years of experience in customer service, technical support, client success, or a related field.
  • Ability to learn new software, hardware, and technical concepts quickly.

Nice to have

  • Bachelor's degree or Associate degree preferred.
  • Salesforce experience is a plus.

Skills

  • The position combines customer service, technical troubleshooting, and product education in a collaborative remote environment.

Compensation

  • Competitive annual salary range of $38,000-$40,000.

Benefits

  • Paid Time Off, including:
  • 3 weeks of PTO accrued from the first day.
  • Medical, dental, and vision insurance plans with employer support.
  • Employer-paid life insurance and Accidental Death & Dismemberment (AD&D) coverage.
  • Short-term and long-term disability insurance coverage.
  • 401(k) retirement plan with 100% employer match up to 4% of employee contributions.
  • Unlimited access to online learning resources for professional development.

Company info

  • We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
  • Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
  • The final decision and next steps (interviews, assessments) are managed by their internal team.
  • We appreciate your interest and wish you the best!
  • Why Apply Through Jobgether?

This listing is sourced directly from Jobgether's careers page and normalized into a canonical job model.