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PVH (Calvin Klein, Tommy)
PVH (Calvin Klein, Tommy)

Famous for its designer underwear and denim lines in the 1980s, specializes in mass-market ready-to-wear clothing for all genders and age groups as...

Product Support Coordinator - Talent Pool - Tommy Hilfiger Global

职能运营
级别应届/初级
方式现场办公
类型全职
发布2个月前
立即申请

Design Your Future at PVH

  • Product Support Coordinator
  • Talent Pool
  • Tommy Hilfiger Global

Shape the Future of Fashion Operations With Us!

Early Years Fashion Talent & Fashion Graduates — we want to hear from you!

Are you ready to kick-start or grow your career in the world of fashion and product operations? Do you see yourself working behind the scenes with one of the biggest brands in the industry? Then join our global Talent Community, recruiting for our Tommy Hilfiger Product team at our HQ in Amsterdam!

Whether you’re just starting out or already building your expertise in fashion business coordination, we’re looking for driven, detail-oriented individuals with a passion for fashion, product, and teamwork.

Register your interest today to be considered for upcoming roles — your next opportunity might be just one click away. Even if you’ve applied before, we encourage you to re-register and stay connected.

We will review your application against any suitable roles. When we have an open role, we will be in touch.

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关于PVH (Calvin Klein, Tommy)

PVH (Calvin Klein, Tommy)

Famous for its designer underwear and denim lines in the 1980s, specializes in mass-market ready-to-wear clothing for all genders and age groups as...

10,001+

员工数

New York

总部位置

$3.2B

企业估值

评价

10条评价

3.7

10条评价

工作生活平衡

3.8

薪酬

2.5

企业文化

4.2

职业发展

3.0

管理层

2.3

65%

推荐率

优点

Supportive team and great colleagues

Good work-life balance

Strong company culture and values

缺点

Management issues and lack of direction

Low compensation and pay

High stress and overwhelming workload

面试评价

44条评价

难度

3.9

/ 5

时长

21-35周

录用率

22%

体验

正面 67%

中性 21%

负面 12%

面试流程

1

Recruiter Screen

2

ML Coding

3

ML System Design

4

Research Discussion

5

Team Interviews

常见问题

ML fundamentals

Design an ML system

Research paper discussion

Statistical concepts