Performance Marketing Intern

Digital Marketing Intern for AI Fashion Marketplace

We are an AI-powered fashion marketplace looking for a driven Digital Marketing Intern to help us build a strong online presence and reach our earliest set of users. This is an exciting opportunity to work at the intersection of fashion, lifestyle, and AI-driven innovation, while taking ownership of campaigns that directly drive growth.

Key Responsibilities:

• Plan, launch, and manage paid campaigns on Meta (Facebook & Instagram) and LinkedIn.
• Prepare media plans & budget allocations across platforms to meet defined goals.
• Apply a funnel-based approach (awareness ? engagement ? conversion) to build traction for a new website.
• Conduct keyword research, audience segmentation, and targeting.
• Monitor campaign performance, analyze results, and prepare reports.
• Collaborate with the design/content team to create engaging ad creatives & copy.
• Stay updated on digital marketing trends and platform updates.
• Set up and manage conversion tracking (Meta Pixel)

Requirements:

• Strong interest in digital marketing & performance marketing.
• Passion for fashion, lifestyle, and AI.
• Experience with Meta Ads Manager & LinkedIn Campaign Manager.
• Knowledge of Google Ads (Search/Display) & keyword research is a plus.
• Knowledge of WhatsApp marketing tools is a plus.
• Hands-on experience with conversion tracking:
• Implementing & troubleshooting Meta Pixel.
• Monitoring & optimizing conversion tracking for better ROAS.
• Analytical mindset with strong data interpretation skills.
• Good communication and coordination skills.
• Ability to work independently with attention to detail.

Why Join Us

• Be part of an early-stage fashion-tech startup shaping the future of AI-powered styling.
• Gain hands-on experience in running digital campaigns that directly impact growth.
• Work closely with the founding team in a fast-paced, learning-driven environment.

Internship Details

Location: Remote (preferably Bangalore)

Stipend: ?8,000/month

Duration: 3 months (extendable based on performance + full time opportunity)