Saks Fifth Avenue Stores (SFA)

Saks Fifth Avenue Stores (SFA)

Fitter/Tailor/Sewer

Chevy Chase, Chevy Chase, MD · Full-time

Sponsorship not specified$28k-$35kDetected 47 days ago
Supply ChainCustomer SupportProblem Solving

About the role

  • Factors which may affect starting pay within this range may include market, skills, experience and other qualifications of the successful candidate.
  • We look forward to reviewing your application.
  • SFA provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.

Requirements

  • You are a respected and proven thought leader with a quantifiable track record of success in delivering results within a large complex organization
  • Minimum 3 years fitting and tailoring experience in high-end merchandise
  • Ability to use all standard sewing, pressing & spotting equipment
  • Ability to use specialty machines: Double-blind, Buttonhole, Cover-stitch, Leather
  • Ability to utilize expertise to make alterations decisions during customer fittings.

Nice to have

  • Knowledge of Alterations industry including fabrication and styling of luxury merchandise.
  • High school graduate or equivalent preferred.

Compensation

  • The starting hourly rate for this position is between [$28.08-35.10 per hour ].
  • Factors which may affect starting pay within this range may include market, skills, experience and other qualifications of the successful candidate.

Benefits

  • The Company offers the following benefits for this position, subject to applicable eligibility
  • Benefits package for all eligible full-time Associates (including medical, vision and dental)

Company info

  • Be a part of a team of disruptors focused on stores and redefining the luxury experience.
  • Exposure to rewarding career advancement opportunities, from retail to supply chain, to digital or corporate

This listing is sourced directly from Saks Fifth Avenue Stores (SFA)'s careers page and normalized into a canonical job model.