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Senior Media Planner, Strategy & Insights

Own Polymarket’s media planning, forecasting, measurement, pacing, and financial reconciliation across paid channels and geographies. The role requires 6+ years of experience, strong SQL and quantitative modeling skills, and hands-on expertise in media measurement and experimentation.

About the job

Responsibilities

  • Build media plans across channels, categories, and geographies, presenting defensible recommendations with clear tradeoffs.
  • Forecast spend, volume, acquisition cost, payback, and seasonality; maintain scenario models and improve forecasts based on variance analysis.
  • Pace spend against approved allocations and identify delivery or media-mix deviations early.
  • Lead measurement across mix modeling, incrementality testing, and geographic experiments, synthesizing results into a coherent view of performance.
  • Reconcile media spend with platform data, invoices, agency billing, and the finance ledger; own accruals, credits, make-goods, discrepancies, and monthly close.
  • Identify auction dynamics, underpriced inventory, seasonality patterns, and competitive activity; recommend evidence-based in-flight reallocations.
  • Build reporting and analytics infrastructure, including dashboards, metric definitions, and a single source of truth.

Requirements

  • 6+ years of experience in media planning, marketing analytics, or growth strategy, with ownership of plans and budgets.
  • Strong fluency across paid search, social, programmatic, video, audio, and offline channels.
  • Strong quantitative foundation in forecasting and scenario modeling.
  • Strong SQL skills and comfort with business intelligence tooling.
  • Hands-on experience with media mix modeling, incrementality testing, and geographic experiments.
  • Financial rigor, including reconciliation, accruals, and collaboration with finance through monthly close.
  • Ability to turn complex analysis into concise executive recommendations.
  • Willingness to identify and correct spend pacing issues.

Nice-to-haves

  • Background in trading, fintech, or event-driven demand businesses.
  • Experience building mix models in-house or managing measurement vendors.
  • Python or R experience, or experience building analysis infrastructure.
  • Ownership of or meaningful contribution to a marketing P&L.

Compensation & Benefits

  • Competitive salary and equity.
  • Unlimited PTO.
  • Full health, vision, and dental coverage.
  • 401(k) match.
  • Hardware setup including a new MacBook Pro, display, and accessories.

Skills

SQL, Python, R, Business Intelligence, Media Mix Modeling, Incrementality Testing, Forecasting, Scenario Modeling, Paid Search, Paid Social, Programmatic Advertising, Geographic Experiments, Marketing Analytics, Financial Reconciliation, Dashboarding

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