Arts & Entertainment Sponsorship Scout

Arts & Entertainment — SponsorUniversity Web Sponsorship Scout

Launched in 2018, SponsorUnited is the leading global sports and entertainment SaaS platform, delivering actionable data and insights to build stronger marketing partnerships.

Bob Lynch | Founder & CEO:

“SponsorUnited was founded with the mission to simplify the increasingly complex sponsorship ecosystem. We strive to unite partners across all sides of the deal by providing them with unrivaled market intelligence and, ultimately, empower them to make smarter, more impactful business decisions.”

SponsorUnited's training program, SponsorUniversity, is a hands-on professional development experience designed to introduce students to the sponsorship industry. Participants gain practical exposure to real-world data management and digital research within the global sports and entertainment ecosystem.

We are seeking motivated interns to participate in structured learning exercises that mirror our workflows, offering supervised, educational experience in sponsorship data management. The research and analysis components are conducted primarily for learning purposes and guided practice, under SponsorUnited supervision. To prepare you for this work, you'll complete a structured and personalized training program designed to build key data management and analytical skills relevant to the sponsorship industry.

Time Needed: 10–15 hours per week for 6 months

Please note this is an unpaid position with the opportunity for academic credit and is entirely remote.

Responsibilities

• Complete an online training course on data management in sponsorship, with a focus on the music, arts and entertainment industry.

• Conduct guided research on sponsorship and brand partnership activity through music and festival platforms, arts and venue websites and social media, as part of supervised practice.

• Learn to navigate and utilize the SponsorUnited platform effectively through step-by-step instruction and mentoring.

Areas of Focus

• Sponsorship and brand partnership activity across the full arts and entertainment landscape; from music festivals and performing arts to art exhibits, cultural festivals, and parades

• Brand activation across leisure and recreation properties including amusement parks, trade shows & associations, and casinos

• Venue and facilities research with a strong focus on professional sports venues, music and concert venues, event & entertainment venues, convention centers, and hotels & resorts

• Digital marketing, social content strategy, and arts-brand alignment

Benefits to Students

• Gain exclusive exposure to real industry data used by sponsorship professionals at top global brands, agencies, and entertainment properties.

• Development of professional and communication skills in a remote tech environment.

• Qualify for academic credit through your university's internship program.

• Earn a certificate of completion upon graduation from the program.

• Participate in gamified challenges designed to make data collection engaging and goal-driven, with special prizes.

• Structured, personalized training program focused on developing relevant industry competencies.

• Access to deep knowledge of arts and entertainment industry professionals and brand ecosystems.

Qualifications

• Availability of 10–15 hours per week for 6 months.

• Strong attention to detail, time management, and organizational skills.

• Demonstrated initiative, curiosity, and ability to work independently.

• Proficient with online research tools and platforms; familiarity with music, live entertainment, or arts media is a plus.

• Strong visual awareness and ability to recognize brand integrations, sponsorship signage, and advertising placements across varied formats.

• English Proficiency: High level of fluency in written and spoken English.

• Education: A background in Marketing, Music Business, Arts Administration, Communications, Entertainment Management, or related fields is preferred but not essential; relevant experience is equally valued.