Senior Media Buyer

Company: Lunar Wave LLC

Location: Remote

Employment Type: Full-time

Lunar Wave LLC is a fast-growing e-commerce company operating multiple Shopify brands that sell digital products, journals, and educational bundles globally.

Our growth engine is performance marketing combined with high-volume creative testing.

We've already generated $680K+ revenue in the first two months of this year, and our goal is to scale beyond $12M in annual revenue.

We are looking for a Senior Media Buyer who can take full ownership of paid media performance and scale winning products aggressively.

This role is designed for someone who has already managed $100k+ monthly ad spend and understands how to structure testing, identify winning creatives, and scale campaigns profitably.

Manage and scale Meta (Facebook & Instagram) advertising across multiple brands

Plan and execute creative testing frameworks to identify winning ads

Scale profitable campaigns while maintaining efficiency targets

Monitor and optimize performance metrics including ROAS, CPA, CTR, CPC, and CPM

Manage multiple ad accounts and ensure account stability

Collaborate with the creative team to develop high-performing ad concepts

Analyze campaign data and identify growth opportunities

Implement structured testing and scaling strategies

4+ years of experience running Meta ads for e-commerce or digital products

Experience managing $100k+ monthly ad spend

Proven track record of scaling campaigns profitably

Deep understanding of creative testing and scaling frameworks

Strong analytical and performance-driven mindset

Ability to operate independently and take ownership of results

Opportunity to work with a rapidly scaling digital commerce company

Access to high creative testing volume

Direct collaboration with the founder and growth team

Competitive salary with performance incentives

Salary: 1L 1.5L per month + performance bonus

Please include the following in your application:

• Resume
• Monthly ad spend managed
• Brands or accounts you've worked on
• Key results achieved (ROAS, scaling examples)