Sales And Marketing Intern

About the Company

Beluga is a contemporary lifestyle brand positioned as a mass-premium alternative to global fast-fashion leaders like ZARA and H&M, with a strong focus on bags, accessories, and apparel. Our goal is to deliver trend-forward designs with strong aesthetics, sharp pricing, and a modern digital-first presence.

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Role Overview

We are looking for a Marketing Intern who will work closely with the founding team and take ownership of the brand's end-to-end marketing efforts. This role offers hands-on exposure across social media, paid ads, SEO, e-commerce analytics, and overall brand marketing strategy.

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Key Responsibilities

Manage and grow Beluga's social media presence across platforms (Instagram, Facebook, etc.)

Plan, draft, execute, and monitor Meta (Facebook & Instagram) ad campaigns

Assist in SEO planning and execution (keywords, content optimization, basic audits)

Track and analyze e-commerce performance metrics (traffic, conversions, ROAS, CTR, etc.)

Support marketing initiatives for product launches, campaigns, and promotions

Ensure consistent brand voice and visual direction across all marketing channels

Collaborate with internal teams and vendors to execute marketing plans efficiently

Take ownership of the overall marketing function and suggest data-backed improvements

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Eligibility & Skills Required

Strong foundational knowledge of marketing concepts and digital marketing

Excellent written and verbal communication skills

Creative, innovative, and trend-aware mindset

Familiarity with social media platforms, Meta Ads Manager, SEO basics, and analytics tools

Interest in fashion, bags, accessories, and lifestyle brands

Self-driven, organized, and comfortable working in a fast-paced startup environment

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What You'll Gain

Real-world exposure to building and scaling a fashion & lifestyle brand

Hands-on experience across performance marketing, branding, and analytics

Opportunity to contribute ideas and take ownership from day one

Potential for full-time conversion based on performance