Sales Team Leader: Grow Talent, Drive Revenue

Living Spaces; Lone Tree (CO); Hybrid; USD 33,000 - 43,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401(k) with Company match

Vacation

Paid Sick Leave

Flexible Spending Account

Employee Assistance Program

Holiday pay

Life insurance

Job summary

Living Spaces is seeking a Sales Supervisor in Lone Tree, CO to lead and develop a high-performing team focused on guest engagement and revenue targets. The role emphasizes staff development, scheduling alignment, and applying the Living Spaces sales model in daily interactions.

The ideal candidate has 5+ years in retail with supervisory experience, proficiency in Microsoft Office, and preferably Tableau experience to analyze store performance and guest trends.

Qualifications

• High School Diploma or GED required.
• 5 years of retail experience in a direct customer interactive environment required.
• Three years of supervisory experience required.
• Experience with Tableau is preferred.

Responsibilities

• Develop and coach teammates through our sales proficiency process.
• Ensure store staffing aligns with guest demand and schedules.
• Model Living Spaces guest engagement and sales leadership during interactions.
• Guide daily tasks and ensure completion of training and style guides.
• Address escalated guest situations and provide resolution.
• Collaborate with Retail Sales Managers to meet/exceed sales goals.

Skills

Guest engagement

Sales leadership

Team coaching

Data interpretation

Education

High School Diploma or GED

Tools

Microsoft Office

Tableau

Job description

Living Spaces is seeking a Sales Supervisor in Lone Tree, CO to lead and develop a high-performing team focused on guest engagement and revenue targets. The role emphasizes staff development, scheduling alignment, and applying the Living Spaces sales model in daily interactions.

The ideal candidate has 5+ years in retail with supervisory experience, proficiency in Microsoft Office, and preferably Tableau experience to analyze store performance and guest trends.