About the job
About DAYBREAKER
DAYBREAKER is at the forefront of the sober morning dance movement, uniting over 500,000 members in 28+ cities who rise before dawn to dance freely and joyfully without substances. Founded by visionaries Radha Agrawal and Eli Clark-Davis, we create transformative experiences that merge movement, music, and community at iconic venues like Rockefeller Center and the Smithsonian, collaborating with esteemed partners such as the White House, Nike, and American Express. We believe that joy is revolutionary, and our celebrations ignite the day before 9 AM.
About the Role
As a Partnerships Intern focused on Operations & Activation, you will play a vital role in executing DAYBREAKER's partner activations, ensuring flawless delivery at events and festivals.
You will collaborate closely with the Head of Operations to manage logistics, including shipments and setup. In tandem with the Partnerships Intern (Account Management), you'll translate partner requirements into impactful activations, while tracking outcomes and exploring strategies to enhance partner engagement.
Your role will also involve working with DAYBREAKER producers across various cities to ensure smooth execution, gather valuable feedback, and continually improve the partner experience.
This position is ideal for an organized, logistics-savvy individual who thrives in dynamic environments and is committed to exceeding expectations in execution.
What You’ll Do
Facilitate Seamless Partner Activations
- Assist in the planning and on-site execution of brand activations (based in NYC)
- Monitor deliverables to guarantee all partner commitments are met at each event
Manage Logistics & Coordination
- Work with producers across cities on shipment handling, storage, and setup
- Track deliveries, confirm details, and troubleshoot issues in real-time
Enhance Systems & Continuous Improvement
- Maintain checklists, workflows, and activation documentation
- Support post-event reporting and derive key insights
- Propose improvements to processes and execution quality over time

