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

Media Buyer

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 are 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.

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.

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 land so you can walk into standup and tell your team exactly where things stand across the board.

Your communication during stand ups are clear: here's what's pacing well, here's what's not, here's what I'm doing about it. You're already making adjustments without needing to be told what and how.

Afterwards, you're in the accounts making optimization decisions - killing underperformers that have had their fair shot, adjusting budgets based on your scaling protocols, launching new creative from the tracker into your testing campaigns with proper variable isolation. If you're testing, you know exactly how much spend and volume you need before you make a call on whether something moves to scaling or gets cut.

Throughout the day you're handling whatever comes up - ad disapprovals that need immediate review requests, a billing issue that's causing downtime, a client question the strategist routes your way about why CPAs spiked.

Later in the day you check back in on accounts. Performance can shift, delivery can get weird, something that looked fine at 10am might look different by 3pm. You do not set it and forget it until tomorrow.

• 2+ years of hands-on media buying experience, managing significant daily spend across multiple accounts simultaneously. Our buyers manage $100k+/day combined on a typical pod.
• Deep Meta Ads proficiency is critical: you should be able to talk intelligently about campaign architecture, conversion objectives, consolidation strategy, and how platform updates actually affect how you structure and optimize accounts.
• Google Ads experience is a strong plus, because while most of our accounts are Meta only, sometimes Google/YT ads come into play for certain clients.
• Experience with third-party attribution and reporting platforms (Hyros, Triple Whale, Segmetrics, Wicked…