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Hive
We are looking for an Advertising Finance Business Partner to own commercial finance for inDrive's Ads business and drive cross-functional commercial growth analysis. Primary accountability (~70%): own budgeting, forecasting, performance tracking, and strategic finance partnership for the Ads vertical — driver-based revenue modeling, commercial challenge, inventory risk quantification, and revenue recognition oversight. Secondary (~30%): marketing ROI measurement, Loyalty program economics, and product-driven growth modeling.
This role requires deep ads industry knowledge combined with strategic and commercial thinking to partner with the Ads leadership team as the business scales rapidly. You will build the financial infrastructure that does not exist today, validate growth plans, and ensure the business has credible forecasts and early warning systems.
Requirements
, technology investment, and profitability Scenario modeling: quantify impact of sales hiring delays, product rollout timing shifts, fill rate improvement, and eCPM growth on revenue targets Performance Tracking & Variance Analysis Own weekly and monthly Ads performance dashboards: actuals vs plan with variance commentary for Ads leadership and senior management Deep-dive variance analysis: when revenue is off-plan, identify whether it's inventory constraints, fill rate issues, eCPM compression, sales pipeline gaps, or seasonal factors Track revenue per monthly active user by market and benchmark against industry standards Monthly plan-fact analysis: explain every material variance in impressions, fill rates, eCPM, and revenue with root cause analysis and actionable recommendations Build and maintain forward-looking performance indicators: sales pipeline visibility, advertiser churn signals, inventory utilization trends Ads Financial Model & Strategic Finance Partnership Build and own the Ads driver-based financial model: Active users → sessions → impressions → fill rate → eCPM → revenue, split by format and placement Understand the Ads strategy deeply: programmatic vs direct sales priorities, key advertiser segments, inventory monetization roadmap, technology platform evolution Validate multi-year growth plans: stress-test assumptions on inventory growth, fill rates, eCPM improvement, and sales team productivity - challenge aggressive targets when they lack operational foundation Quantify inventory allocation risk: model impact of expanding ad placements on user experience metrics and core product engagement Commercial challenge: if the plan assumes doubling revenue in 12 months, does the sales headcount, advertiser pipeline, inventory availability, and technology roadmap support it?