We’re Fever, the world’s leading tech platform for culture and live entertainment.To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment. Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences.

We’ve teamed up with major industry leaders like Netflix, F.Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Ground truth is often unobservable, clean experiments are not always possible, and calls have to be made with imperfect data. When a clean test is not feasible, you triangulate across methods instead.You'll need to understand how Meta's and Google's delivery algorithms decide where budget flows, how pixels and conversion signals shape what they optimize toward, and how attribution windows distort what you see.

You don't need a marketing background.

To be clear about what this is not: it is not a media-buying or campaign-management role, and it is not a model-building data-science role. What you'll doOwn the full efficiency chain, connecting spend levels, marketing mix, channel setup and creative performance into one coherent view, and pressure-test what our marketing-automation systems recommend.Turn open questions into clear test plans, decision frameworks and recommendations, with assumptions and trade-offs stated up front.Own the signal layer (pixels,



events and custom conversions): how it's configured, what the algorithm optimizes toward, and how signal quality changes results.Dig into the mechanics of paid platforms across Meta, Google and TikTok: campaign structure, bidding, budget optimization, audiences and catalogs.Design and run experiments that prove what works, from lift tests and geo-lifts to ablation tests and pre/post analyses, with clear metrics, statistical power and decision rules.A/B and geo experiments, lift and incrementality testing, statistical power and sample-size reasoning, control groups and baselines.Strong SQL, with enough coding and BI experience to understand what sits behind your analyses.Real curiosity about how ad platforms work, and comfort operating with imperfect data while being explicit about your assumptions.Fluent English.Spanish.Run experiments that settle real debates and redirect meaningful budget, instead of sitting in a deck.Help shape how a world-class data org uses AI to work faster without losing rigor.Benefits & PerksA compensation package consisting of base salary and the potential to earn a significant bonus for top performance.Based in Madrid, with a home office friendly setup.Health insurance and other benefits such as Versátil remuneration with a 100% tax exemption through Cobee.English / Spanish lessons.Fever's Blog | Tech.Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. If you want to know more about how Fever processes your personal data, click here Fever - Candidate Privacy Notice

📌 Data & Research Marketing Executive (Madrid)
🏢 Fever
📍 Madrid