Nascar
Flagger (Event Staff) - Watkins Glen International Speedway
Watkins Glen, NY · Staff+
Sponsorship not specifiedDetected 25 days ago
Communication
About the role
- WATKINS GLEN Located within five hours (300 miles) of 25 percent of the U.S. population, Watkins Glen International is the premier road racing facility in North America, three-times voted "Best NASCAR Track" by readers of USA Today.
- The Glen hosts a diverse portfolio of premier sports car, open wheel, and stock car races throughout the year.
- NASCAR seeks talented professionals to join our event staff team as a Flagger based at Watkins Glen International.
Responsibilities
- To help us get to know you accurately and keep the process fair for everyone, we ask that interviews and assessments be completed without the support of AI-generated content or automated assistance.
Requirements
- Minimum 18 years of age.
- Good judgment and the ability to think logically;
- Knowledge of the Weekday Safety Team Handbook;
- Ability to work as a team member.
- Proven job reliability and strong work ethic.
- Ability to take and follow direction.
- If you are ready to make an impact alongside passionate teammates, we encourage you to apply.
- Reliability and punctuality
- Stay attentive to observe and report on-track activity at the race track
- Exceptional communication skills.
- Comfortable working in a fast paced, high energy environment.
- Flexible schedule during the event.
- Reliable transportation to and from Watkins Glen International Speedway.
- Flagging Responsibility:
- Provide safe communication and control of race cars by:
Compensation
- That is why we offer competitive compensation, a comprehensive benefits package focused on wellness, and opportunities to grow and develop both personally and professionally.
Equal opportunity
- NASCAR is an Equal Opportunity Employer and is committed to conducting recruitment and hiring activities in a fair, ethical, and legally compliant manner.
This listing is sourced directly from Nascar's careers page and normalized into a canonical job model.