DraftKings

DraftKings

Player Development Executive, Cleveland Ohio

Remote - US · Full-time

Sponsorship not specifiedDetected 1 day ago
Problem Solving

About the role

  • It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities.
  • Our teams are energized by innovation and readily embrace emerging technology.
  • We're not waiting for the future to arrive.

Responsibilities

  • Develop and maintain strong relationships with premier players through providing services and building player loyalty.
  • Drive key VIP sales metrics, contributing to customer engagement, market share, and net revenue.
  • To those who see AI as a driver of progress, come build the future together.

Requirements

  • Bachelor's degree in a related field or 5 years of experience in the Gaming, Hospitality, Sales, or Marketing industry.
  • Must be able to obtain and maintain required State Gaming Licenses.
  • As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment.

Compensation

  • The US base salary range for this full-time position is 88,400.00 USD - 110,500.00 USD, plus bonus, equity, and benefits as applicable.
  • Your recruiter can share more about the specific pay range and how that was determined during the hiring process.

Benefits

  • The US base salary range for this full-time position is 88,400.00 USD - 110,500.00 USD, plus bonus, equity, and benefits as applicable.
  • Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Company info

  • Participate in the escalation process and work with customers and other internal teams to provide a timely resolution.
  • At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas.

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