Monetization Lead

At Appodeal, we’re more than just a company—we’re a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses!

We take pride in our cutting-edge product and our internationally dispersed team of talented professionals.

Here’s what we value, and what we hope you do too:

• Continuous Learning and Growth: We are passionate about learning, growing personally, and building rewarding careers.
• Making an Impact: We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry.
• Solving Exciting Challenges: We tackle complex problems every day, supported by a team of world-class professionals and mentors.
• Enjoying the Journey: We believe in having fun while working toward our goals.

• Define and evolve the ad monetization strategy across the games portfolio, grounded in eProfit outcomes rather than isolated ad-revenue metrics.
• Own waterfall structure, floor pricing, and placement strategy across all titles.
• Maintain live knowledge of eProfit, ARPDAU, eROAS, and fill/show rates across the portfolio. Stay in the data daily.

• Build and run a rigorous, high-velocity A/B testing culture: waterfall configurations, placement density, floor optimization, network mix.
• Translate experiment results into concrete, prioritized action — not just readouts.
• Set the cadence and quality bar for how monetization hypotheses are tested across the team.

• Own and grow relationships with ad networks, DSPs, and exchanges relevant to casual gaming monetization.
• Negotiate terms, unlock new demand sources, and resolve commercial or technical issues directly with partners.
• Represent Appodeal in partner conversations as the accountable owner of monetization outcomes.

• Operate without a dedicated in-house analytics headcount — pull data, attribution, and LTV models from the shared intelligence layer rather than building parallel infrastructure inside the function.
• Partner with the data and RnD teams to make sure the intelligence layer serves monetization decision-making, rather than working around it.

• Act as the Product Owner for monetization on a given app — pulling in Ad Tech, Analytics, and Product as needed, without direct reporting lines over those functions.
• Work closely with Product and UA to ensure monetization decisions are made in the context of full eProfit, not ad revenue in isolation.
• Enable fast hypothesis testing and iteration cycles across the games portfolio.

• Build and lead a lean, high-talent team; raise the bar on talent density rather than grow headcount for its own sake.
• Set a high bar for ownership, speed, and rigor. Address performance gaps directly.
• Foster a culture where people act as DRIs, not ticket-resolvers.

Requirements

• Proven, hands-on experience leading monetization specifically for casual, ad-monetized mobile games (cards, word, board, puzzle, or comparable evergreen genres) — not general ad-tech, mediation-commercial, or IAP/midcore monetization backgrounds.
• Track record building and scaling a rigorous, high-velocity experimentation culture (A/B testing, waterfall optimization) with measurable eProfit/ARPDAU/eROAS impact.
• Comfortable operating without a dedicated in-house analytics headcount — pulling data, attribution, and LTV models from a shared intelligence layer rather than building it inside the function.
• Strong existing relationships with ad networks, DSPs, and exchanges relevant to casual gaming monetization.
• Experience building and leading lean, high-talent teams; ability to raise the bar on talent density rather than grow headcount for its own sake.
• Comfortable acting as a cross-functional integrator (Product Owner model) — pulling in Ad Tech, Analytics, and Product for a given app without direct reporting authority over those functions.

• Have directly scaled ad-monetization revenue for a casual game from early traction to meaningful portfolio contribution.
• Experience with mediation platforms and waterfall management tools (e.g., AppLovin MAX, LevelPlay, Topon).
• Familiarity with analytics and attribution tools: Firebase, GameAnalytics, Amplitude, AppsFlyer.
• Experience negotiating commercial terms directly with ad networks or DSPs.
• History of operating in lean, low-headcount environments where you personally do the analysis rather than delegate it.