Level

Farfetch

Customer Service Advisor (English Speaker)

AI in this role

Farfetch is a leading global marketplace for the luxury fashion industry, connecting customers in over 190 countries with items from more than 50 countries and over 1,400 of the world’s best brands and charming boutiques from around the world. Farfetch opens a world of luxury for endless expressions of style, delivering a truly unique shopping experience and access to the most extensive selection of luxury on a global marketplac   OPERATIONS The Operations team serves as the backbone of our marketplace, seamlessly managing the entire order journey. From creating online content and ensuring secure payments to order fulfillment and delivery, while providing comprehensive customer and partner care, this team is relentlessly focused on improving the customer experience every single day.   LISBON The FARFETCH office located within the Sítio co-working space network in Lisbon is designed to be a highly flexible and well-connected hub. This is centrally-located workspace close to major business areas, and a vibrant spot.   THE ROLE As a Customer Service Advisor, you are  the face and voice of Farfetch strategic partners and a key team member who loves and understands customers, keeping them front of mind. Exceeds their expectations by providing exceptional service through the quality, speed and efficiency of your support and delivering an unforgettable experience while helping them discover our partner’s amazing products selection. Reporting to the Customer Service Supervisor, you will gain excellent hands-on experience in a fast-paced fashion environment.

How we rate this

Customer Service Advisor (English Speaker) at Farfetch rates 36 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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