Description:

About the role:
A Ride-Sharing Mobile Application Company is looking to add an Associate Tax Counsel - M&A to our Global Tax Planning & Strategy team! This role will report to our Director, Tax Counsel with a focus on M&A and internal tax planning. This is an amazing opportunity to join our Tax team and make an immediate impact. This role requires strong business acumen, coupled with deep M&A and technical experience. If you welcome a high-growth, fast-paced international environment, we're excited to hear from you.

What You'll Do:
  • Perform tax diligence and provide structuring advice with respect to acquisition and dispositions
  • Advise cross functional teams on M&A and internal planning projects
  • Monitor existing and proposed tax legislation, assess planning opportunities, and identify/recommend initiatives to the Director, Tax Counsel and VP of Tax
  • Partner with key contacts in legal, operations, corporate development, finance, and treasury to identify and implement tax planning strategies and minimize potential tax risks
  • Review contracts and collaborate with legal to ensure contracts contain key terms consistent with global tax structure
  • Work with a global tax team

Basic Qualifications:
  • JD required, with active membership in a state bar
  • Minimum 5 years of experience in a accounting firm, law firm and/or in-house at a multi-national corporate group with a solid understanding of M&A concepts, including complex corporate transaction experience

Preferred Qualifications:
  • Strong written and verbal communication skills; ability to communicate effectively with senior management team and coordinate with other teams within Uber
  • Strong tax research and tax analytical skills
  • Experience working with and in a cross-functional team
  • Clear communication of legal concepts and ability to develop a positive narrative regarding tax positions
  • Demonstrated ability to provide clear advice in a dynamic environment
  • Ability to clearly communicate recommendations based on risk analysis in a highly ambiguous environment