Head of Marketing Analytics

appflame Ignite is our early-stage incubator: founders with the ambition and vision to build world-class mobile products inside appflame, with the company's resources and expertise behind them. Marketing measurement is the discipline these products scale by - and that's exactly what you'll own.

Own attribution, LTV modeling, and incrementality for the mobile products of appflame's early-stage incubator - the capability that lets us scale user acquisition profitably.

appflame is a Ukrainian product IT company building world-class products: Hily, Taimi, AdConnect, and more. We are 7 years old, 500+ people strong, with offices in Kyiv, London, and Limassol, and a coworking in Warsaw. Hily and Taimi are among the Top 5 dating apps in the U.S., with over 70 million users. In 2025, Forbes ranked appflame 5th among the 50 best employers in Ukraine, with a win in the "Place for Growth" category.

• 6+ years in marketing/growth analytics, including 3+ years in mobile UA-driven businesses
• 2+ years leading an analytics team, including hiring
• hands-on experience with MMPs (AppsFlyer, Adjust, or similar), SKAN/AdAttributionKit, and major ad platforms (Meta, Google, TikTok, ASA)
• a track record of building predictive LTV/pLTV models that were used in real budget decisions - not just built
• designed and run incrementality tests (geo-lift, holdouts) and/or media mix modeling
• strong SQL and Python/R, and ownership experience of marketing data pipelines and BI tooling (warehouse, dbt, Tableau/Looker, or similar)
• a deep grasp of subscription unit economics: cohort analysis, retention curves, payback windows, blended vs. paid CAC
• the judgment to make calls with incomplete attribution data and the communication skills to defend them to non-technical leadership
• an Advanced level of English

• own marketing measurement end-to-end across the mobile stack - MMP data, SKAN/AdAttributionKit, and first-party signals - and build one trusted view of CAC, ROAS, and payback
• build predictive LTV models by channel, geo, and cohort that UA teams use to bid, budget, and scale
• stand up an incrementality testing (geo-lift, holdouts) and media mix modeling program - and drive budget reallocations based on the results
• turn creative and campaign data into a decision engine: systematic creative analysis, early kill/scale signals, and channel diagnostics
• own the marketing data infrastructure: pipelines from MMPs, ad networks, and app stores into a clean warehouse layer with self-serve dashboards
• align UA, product, and finance on unit economics - payback windows, blended vs. paid CAC, subscription LTV assumptions
• hire, develop, and lead a team of marketing analysts as the function scales

• experience in dating / lifestyle apps (subscription apps a strong plus)
• exposure to MMM tooling (Robyn, Meridian, or in-house)
• experience presenting measurement strategy to C-level or a board