Social Media Marketing Intern

0 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Company Description

Hungry Picnic specializes in delivering smart vending solutions to diverse locations such as offices, manufacturing plants, airports, hospitals, and universities. Our offerings go beyond snacks, drinks, and fresh food as we focus on providing energy and fostering connections in communities. With a commitment to service and innovation, we aim to meet the needs of our customers anytime, anywhere. If you are passionate about creating connections and serving others, becoming a part of the Hungry Picnic community might be the perfect opportunity for you. We welcome you to reach out to us to learn more about how you can get involved.


Role Description

This is a part-time hybrid role for a Social Media Marketing Intern. The intern will be responsible for creating engaging social media content, managing the company's social media platforms, implementing digital marketing strategies, and analyzing performance metrics. The role also includes assisting in brainstorming and generating creative marketing initiatives to strengthen our online presence.


🎯 Responsibilities

Instagram (Priority)

  • Creating posts & reels
  • Recording and editing short-form videos
  • Following trends to improve reach & engagement

LinkedIn

  • Creating content for company & founder pages
  • Writing engaging B2B/startup-focused posts
  • Tracking engagement and reach

Website (SEO & Blogs)

  • Writing SEO-friendly blogs & website content
  • Assisting with keyword research & on-page SEO
  • Supporting organic traffic growth


🛠️ Skills Required
  • Strong content writing & communication
  • Canva (mandatory) & Figma Preferred

  • Basic understanding of SEO
  • Instagram reels & video editing skills
  • Willingness to learn and take ownership


🌱 What You’ll Gain
  • Hands-on startup exposure
  • Portfolio-worthy work
  • Certificate & stipend
  • Strong opportunity for full-time conversion based on performance


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