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Media Buyer, Meta & Google - Direct Response; Info Marketing

Job in Alpharetta, Fulton County, Georgia, 30239, USA
Listing for: BAD Marketing
Full Time position
Listed on 2026-06-26
Job specializations:
  • Education / Teaching
    Digital Marketing
Salary/Wage Range or Industry Benchmark: 100000 USD Yearly USD 100000.00 YEAR
Job Description & How to Apply Below
Position: Media Buyer, Meta & Google - Direct Response (Info Marketing)

ABOUT BAD MARKETING:

We're a team of passionate leaders and creatives who have worked diligently to make BAD Marketing one of the largest and most robust Growth Marketing Agencies in the world. At the core of our philosophy is the belief that excellence stems from a united team working toward a common objective: to not only help our clients grow profitably but also to provide them with an experience they can’t find anywhere else.

We specialize in local lead generation, e-commerce, and information marketing; catering to clients that span from auto and local shop owners to online consumer product brand owners, online gurus selling courses or coaching, and more.

Our approach to success involves more than just Bold And Disruptive strategies. We invest in our team through extensive training, continuous support for growth and learning, and the cultivation of a happy and confident company culture. For us, finding fulfillment in your career is just as crucial as excelling in it.

ABOUT THIS POSITION:

We're hiring a media buyer to own paid acquisition across a pod of 5-8 clients spending a combined $100k+ per day, primarily on Meta. You'll sit inside a cross-functional pod with a strategist, copywriter, and PM and you'll be the person responsible for making sure every dollar in those ad accounts is actually doing something.

You're not uploading creative and toggling budgets when someone tells you to - you're deciding how campaigns get structured, what gets tested and why, when to scale and how aggressively, and whether the data you're looking at is even trustworthy before you optimize against it. You understand funnel math well enough to reverse-engineer what your CPL needs to be to hit a revenue target three steps downstream.

You know the difference between scaling 10% because it's safe and pushing 30% because the situation calls for it (and you can defend the decision).

Your strategist sets overall client direction, but you own the ad accounts. That means you're not waiting for instructions on what to do inside the platform: you're actively managing, analyzing, and making judgment calls throughout the day. When something's off you’ve probably already noticed, have a theory, and have been working on it.

You'll also be client-facing, but the degree varies by pod; media buyers here interface with clients - whether that's presenting paid performance on calls, answering questions about platform changes, or providing updates on pacing and results. You should be comfortable explaining what you're doing and why in plain language to both client and pod members.

What Success Looks Like

Your strategist isn't checking behind you and they know the accounts are being managed because you're proactively communicating what matters - wins, problems, recommendations - before they have to ask.

The copywriter walks into the creative review call with accurate win/lose data because you updated it 24 hours ago, not 5 minutes before the meeting.

You can explain the 'why' behind every decision in the account:
Why this campaign structure, why this budget allocation, why you killed that ad at $X spend and let this one run longer.

You're not telling the team you need more ads after the last batch died and there's nothing left to test. You let them know ahead of time by using our internal forecasting tools, based on win rates, fatigue, and testing cadence, and communicating volume needs before it's urgent.

Scaling decisions factor in the business, not just the ad account. You think about sales team capacity, payment method limits, backend conversion rates - not just 'CPA looks good, let’s spend more.'

You're cross-referencing platform data, attribution tools, and internal reporting regularly. If the numbers don't line up, you've flagged it and you're not optimizing off bad data and hoping for the best.

A Day In This Role

You start the morning in the accounts: every account, every day - you’re looking for a quick pulse check before your pod standup. Knowing how the spend pacing, how performance was overnight, any disapprovals or billing issues, any general reporting issues. You're not doing deep optimization yet, just getting the lay of the…

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