Uber Off Campus Drive | Tech Support | 2017 & 2018 Batch | Gurgaon

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About Company:

We’re changing the way people think about transportation. Not that long ago we werejust an app to request premium black cars in a few metropolitan areas. Now we’re a part of the logistical fabric of more than 600 cities around the world. Whether it’s a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.

Company Name: Uber

Website: http://www.uber.com

Position:Community Support Representative

Salary Details: INR 4.8 LPA

Job Location: Gurgaon

Desired Experience: 0 to 2 Years

Bond: 6 months contractual job

Tentative date of interview: Will be communicated post registration window is closed

Tentative date of joining: Immediate

Eligibility Criteria:

  • Courses Required: All Graduates
  • Batch: 2017 and 2018 batch passed out

Job Description:

At Uber, providing amazing customer support that establishes trust for riders and driver partners–our community–is a core feature of our product experience. We invest in this mission and believe in providing the highest quality service executed in the smartest, most efficient way.

Profile 1: Defect Reduction

  • Constant evaluation and updating our training framework
  • Design specific issue level video training content which could be digitally sent or included in in-person training
  • Create content around IAH adoption
  • Driving projects at GL and airports focused on reducing issues pertaining to professionalism, Cancellation and Waitlisting
  • Uncovers new fraud techniques from the drivers and riders

Profile 2: Competitor Analysis

  • End to End comparison of IVR on all issue types, AHT, DSAT
  • In-App Help – design, languages and vocabulary along with performance measurement
  • Policy comparison on each issue type
  • Explore other Support Mechanisms which could reduce costs or improve driver experience
  • Create a driver feedback mechanism and operationalize it.

Profile 3: Insight Generation 

  • Tickets and Call scrubbing activity to cull out insights from internal data
  • Conducting experiments at Greenlight centres and Airports to gather ground level information
  • Taking Driver Trips to gauge and understand the real-time issues

Interview Process:

  • Multiple Face-to-Face Interviews

How To Apply:

Apply Link: Click Here

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