Media Buyer, Meta & Google - Direct Response (Info Marketing)

BAD MarketingAlpharetta, GA
Remote

About The 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 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.

Requirements

  • 2+ years of hands-on media buying experience, managing significant daily spend across multiple accounts simultaneously.
  • Deep Meta Ads proficiency, including campaign architecture, conversion objectives, consolidation strategy, and understanding of platform update impacts.
  • Experience with third-party attribution and reporting platforms (e.g., Hyros, Triple Whale, Segmetrics, Wicked Reports).
  • Understanding of funnel math and how ad account metrics connect to business outcomes (CPL, show rate, close rate, CAC, ROAS).
  • Experience with launch campaigns, including budget phasing, testing windows, and event-based ad scheduling.
  • Comfortable being client-facing, able to present performance data clearly and answer questions.
  • Strong async communication skills, comfortable working primarily in Slack and ClickUp.
  • Ability to stay current on platform changes, algorithm updates, and new tools independently.
  • Willingness to use AI tools where useful for data analysis, research, and reporting.

Nice To Haves

  • Google Ads experience is a strong plus.
  • Familiarity with Hyros attribution tool.
  • Understanding of why launches require a different playbook.
  • You actually want to understand how the platforms work at a technical level - why the algorithm behaves the way it does and what that means for how you run accounts.
  • You think about ad accounts in terms of business impact, not just what's happening inside the platform.
  • You surface problems, recommendations, and creative needs before someone has to ask you.
  • You're comfortable with direct feedback and high expectations.
  • You use AI tools where they would be useful (data analysis, research, reporting) and understand where they're not (in-platform judgment, real-time optimization decisions).

Responsibilities

  • Own paid acquisition across a pod of 5-8 clients spending a combined $100k+ per day, primarily on Meta.
  • Decide how campaigns get structured, what gets tested and why, when to scale and how aggressively.
  • Determine if the data being analyzed is trustworthy before optimizing against it.
  • Actively manage, analyze, and make judgment calls within ad platforms throughout the day.
  • Proactively communicate wins, problems, and recommendations to the strategist and pod members.
  • Update performance data for creative review calls.
  • Explain the 'why' behind every decision in the ad account.
  • Use internal forecasting tools to communicate volume needs ahead of time, based on win rates, fatigue, and testing cadence.
  • Factor in business considerations like sales team capacity, payment method limits, and backend conversion rates when making scaling decisions.
  • Cross-reference platform data, attribution tools, and internal reporting regularly.
  • Perform a quick pulse check on all accounts daily, looking at spend pacing, overnight performance, disapprovals, billing issues, and reporting issues.
  • Make optimization decisions, such as killing underperformers, adjusting budgets, and launching new creative.
  • Determine the necessary spend and volume for testing before making decisions on scaling or cutting.
  • Handle ad disapprovals, billing issues, and client questions about performance.
  • Continuously monitor accounts throughout the day as performance can shift.
  • Manage significant daily spend across multiple accounts simultaneously.
  • Work across multiple data sources and pick up new attribution tools quickly.
  • Understand how ad account metrics connect to business outcomes.
  • Manage launch campaigns, understanding budget phasing, testing windows, and event-based ad scheduling.
  • Present performance data clearly and answer client questions about ad accounts.
  • Communicate clearly in writing via Slack and ClickUp, surfacing issues proactively, providing context, and keeping the pod informed.

Benefits

  • Comprehensive health, dental, and vision insurance plans (US Residents Only)
  • PTO
  • Paid US Holidays
  • Opportunities for professional development and advancement within the organization.
  • A collaborative and innovative work environment with a focus on creativity and results.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

11-50 employees

© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service