Performance Media Buyer

We are seeking an experienced, analytical Performance Media Buyer to manage day-to-day paid-media execution across a small portfolio of consumer-brand accounts, some spending approximately $25,000 - 100,000 or more per day.

Meta will be the primary platform, with additional execution across TikTok, Google, Snapchat, AppLovin, and emerging channels as needed. The role will build campaigns from approved strategies, manage creative trafficking, complete launch QA, monitor pacing and performance, make optimizations within established guardrails, and support structured testing.

This is not an entry-level or senior strategy position. The co-founders and growth operators will own growth strategy, channel allocation, forecasting, client relationships, and creative direction. The media buyer will own accurate execution, daily account management, analysis, reporting, and timely escalation.

• Build campaigns from approved strategies, briefs, and test plans

• Configure budgets, audiences, placements, optimization events, attribution settings, and conversion destinations

• Manage creative trafficking, naming conventions, UTMs, links, and landing-page mapping

• QA every campaign before launch, including budgets, settings, creative, tracking, and destinations

• Check new launches for approval, delivery, and tracking issues within hours

• Monitor spend, pacing, delivery, and performance against agreed targets

• Make routine adjustments to budgets, bids, audiences, placements, and creative allocation within approved guardrails

• Flag scaling opportunities for review rather than making unapproved allocation decisions

• Monitor creative fatigue, frequency, audience saturation, and delivery constraints

• Escalate immediately when spend moves outside thresholds, tracking breaks, ads are rejected, or accounts are restricted

• Own platform-support escalations and follow through until issues are resolved

• Diagnose performance changes using CPM, CTR, conversion rate, CPA, CAC, ROAS, MER, and AOV

• Check placements, audiences, creative, tracking, landing pages, inventory, and promotions before recommending action

• Set up structured tests with a clear hypothesis, success metric, and decision rule

• Support lift studies, geo tests, holdout experiments, and other incrementality work

• Reconcile platform reporting with Shopify, GA4, and blended business metrics

• Verify date ranges, currencies, time zones, and attribution windows before reporting results

• Prepare concise weekly performance summaries, insights, and recommendations

• Explain what changed, likely causes, confidence level, and recommended next steps

• Maintain current change logs, test logs, and account notes

• Keep client data, assets, and account access properly separated and secure

• Improve build, QA, monitoring, and testing workflows

• Use AI and automation to reduce repetitive work while retaining responsibility for accuracy

• Two to four years of recent, hands-on paid-social media-buying experience

• Strong command of Meta Ads Manager

• Experience with at least one other platform, such as Google Ads, TikTok, Pinterest, Snapchat, or AppLovin

• Agency, consultancy, or equivalent multi-account experience

• Experience building, launching, pacing, and optimizing live campaigns

• Strong campaign-trafficking and QA discipline

• Experience running structured tests and explaining how results affected decisions

• Ability to diagnose performance through underlying drivers rather than relying only on platform recommendations

• Strong understanding of CPA, CAC, ROAS, MER, CPM, CTR, and conversion rate

• Ability to analyze raw platform exports in Excel or Google Sheets using pivot tables, lookups, and SUMIFS

• Strong attention to budget, tracking, attribution, and reporting accuracy

• Clear written and spoken English

• Ability to summarize analysis for non-technical stakeholders

• Willingness to escalate problems early and challenge decisions with evidence

• Ability to learn new platforms, tools, and measurement systems

• Ability to identify and automate inefficient processes using AI

• Availability for at least four hours of daily overlap with Toronto business hours

• Exposure to Meta Conversion Lift, geo holdouts, or test-and-control experiments

• Understanding of attributed versus incremental performance

• Experience combining data from ad platforms, Shopify, and GA4

• Familiarity with marginal CPA, diminishing returns, and budget headroom

• Basic statistics or SQL knowledge

• Familiarity with Triple Whale, Northbeam, Haus, MMM, or similar measurement tools

• Experience managing accounts spending five figures or more per day

• Ecommerce or DTC experience

• Experience supporting creative-testing programs

• Looker Studio experience or Meta Blueprint certification