Rippling

Rippling

Travel Support Specialist

Remote (United States)

Sponsorship not specifiedDetected 25 days ago

About the role

  • Team members focus on getting our customers back on course when challenges arise and contribute to internal discussions around product enhancements.

Responsibilities

  • Responsible for documenting product functionality and country-specific nuances and training Global Support Team members.

Requirements

  • 9:00 AM - 5:30 PM EDT 9:00 AM - 5:30 PM PDT The schedule operates on a rotational shift basis, meaning you must be available to work during either time zone as required by the business.
  • This is an exciting role where you will have a direct impact on our day to day operations, traveler experience and product development!
  • If you are the type of person to look at a flight of 10,000 stairs, pause, get a bit excited, and then seize the moment - you have what it takes!

Nice to have

  • To request a reasonable accommodation, please email accomodations@rippling.com Rippling highly values having employees working in-office to foster a collaborative work environment and company culture.
  • Work well under time constraints and meet schedules
  • at times with unexpected deadlines, to ensure client's needs are met What you will need Required: Proficient in English

Compensation

  • $22.19-$23.49/hr
  • This role will receive a competitive salary + benefits.
  • The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.

Company info

  • Responsible for supporting our Rippling customers and resolving issues related to our Travel Products.
  • Leverage phone, chat, email functionality, and video conferencing to help our customers optimize Rippling's Travel Product De-escalate and resolve issues by leveraging platform and industry expertise.
  • Become a product expert - you'll be a go-to resource for both customers and coworkers.

This listing is sourced directly from Rippling's careers page and normalized into a canonical job model.