Partner Marketing Intern
Supports partner marketing programs and go-to-market initiatives with Snowflake technology partners. The internship is intended for an actively enrolled MBA student with strong collaboration, problem-solving, social media, and technology skills; French proficiency is preferred.
About the job
Responsibilities
- Help develop partner marketing programs with Snowflake’s technology partners.
- Build enterprise plans with partners.
- Support partner impact reporting, go-to-market partner plans, social media marketing, and international adoption of partner programs.
- Work with partner ecosystems spanning ETL, ELT, business intelligence, machine learning, artificial intelligence, and cloud partners.
Requirements
- Be an undergraduate or master's student; active enrollment in an accredited college/university MBA program is required during the internship.
- Marketing-focused MBA preferred.
- Spring internship; six-month duration recommended.
- Strong problem-solving skills and ability to learn quickly in a dynamic environment.
- Teamwork experience and ability to work independently.
- Organized, detail-oriented, and focused on driving results through collaboration.
- Dedication to and passion for technology.
- Understanding of social media platforms and their use in different scenarios.
- French spoken and written preferred.
Compensation and Benefits
- Paid, full-time internship.
- Exposure to a fast-paced, inclusive culture and world-class experts.
- Meaningful contributions to systems used by customers.
- Access to supervisors, managers, and mentors, with direction, feedback, and a final evaluation.
- Potential post-internship opportunities, including full-time employment or additional internships.
Learning Opportunities
- Exposure to Tableau dashboards.
- Understanding of partner ecosystems and cloud infrastructure, including AWS, Azure, and Google Cloud.
Skills
Social Media Marketing, Facebook, Instagram, LinkedIn, Glassdoor, Youtube, Twitter, Tableau, ETL, ELT, Business Intelligence, Machine Learning, Artificial Intelligence, AWS, Microsoft Azure
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