Luxury Fashion Sales Supervisor | Lead Clienteling & Growth

Maison Margiela; Las Vegas (NV); On-site; USD 52,000 - 72,000; Full time

Job summary

Maison Margiela is seeking a Sales Supervisor in Las Vegas to lead a high-performing team, drive sales, and elevate the client experience. You will actively manage a personal client portfolio while coaching the team on behaviors that convert, and build a culture of clienteling, accountability, and brand excellence.

Partner with Store Manager to translate store objectives into daily actions, analyze KPIs, and close performance gaps using data-driven strategies.

Qualifications

• 3+ years of selling and leadership experience in fashion or retail.
• Proven ability to coach, motivate, and develop others with constructive feedback.
• Demonstrated success achieving individual and team sales objectives.
• Strong command of retail KPIs and commercial performance.
• Clienteling and relationship-building skills; CRM activity experience.
• Ability to work in a fast-paced retail environment with strong decision-making.

Responsibilities

• Lead the team to meet and exceed store sales objectives.
• Translate targets into daily/weekly goals and set clear expectations with the team.
• Coach Client Advisors on selling skills, product knowledge and KPI performance.
• Develop plans with Store Management to improve underperforming KPIs.
• Drive clienteling activity and CRM use to grow the client book.
• Build a high-performing, inclusive sales culture and partner with cross-functional teams.

Skills

Sales leadership

Coaching

KPI literacy

Clienteling

Communication

CRM tools

POS proficiency

Analytical thinking

Tools

CRM systems

POS systems

Job description

Maison Margiela is seeking a Sales Supervisor in Las Vegas to lead a high-performing team, drive sales, and elevate the client experience. You will actively manage a personal client portfolio while coaching the team on behaviors that convert, and build a culture of clienteling, accountability, and brand excellence.

Partner with Store Manager to translate store objectives into daily actions, analyze KPIs, and close performance gaps using data-driven strategies.