Head of Product, Data, EU

Location: Barcelona office

About Us

TyrAds is a leading tech-driven loyalty and rewards platform that partners with businesses to create meaningful and rewarding experiences for their customers. With millions of users across our platforms, we specialize in innovative AdTech solutions powered by big data, machine learning, and deep learning technologies.

Our systems process over 10,000 events per second, delivering real-time insights at scale. We build seamless user experiences across web, Android, and iOS, while leveraging ML/AI to power personalization and advertising effectiveness.

We are a team of 90+ employees worldwide and growing, guided by values of transparency, ownership, learning from mistakes, and respect for diverse cultures. Our product development follows Agile methodologies with weekly releases and collaboration tools such as GitHub, Jira, and Slack.

We are looking for a commercially driven data leader who doesn't just build reports, but directly changes how a business operates. You are someone who thinks like a product manager and approaches data with a clear revenue thesis. Where others see static reward funnels configured by operator intuition, you see a complex economic system ripe for quantitative modeling and optimization.You thrive on turning solid technical foundations—reliable pipelines, clean warehouses, and existing AI tooling—into tangible business growth. You take initiative rather than waiting for requests, proactively identifying second-order effects, designing production-scale experiments, and delivering clear, actionable strategies that AdOps, Sales, and Executives can execute immediately.

Job Requirements

• Experience: 7–10+ years leading a data/analytics/BI function in a product or marketplace business.
• Modeling Expertise: Proven experience in quantitative economic modeling (pricing, elasticity, marketplace dynamics, or funnel optimization).
• Experimentation Rigor: Mastery of production-scale A/B testing, sample size calculation, stopping rules, and interpreting null results.
• AdTech Knowledge: Familiarity with mobile ad tracking, event data, MMPs (AppsFlyer/Adjust), CPI models, and offerwalls.
• Technical Stack: Advanced SQL, Python (modeling/analysis), and hands-on cloud data warehouse experience.
• Product Ownership: Track record of defining, prioritizing, shipping, and measuring data products.

• Reward Funnel Economics: Model payouts, event structures, user progression, and publisher behavior as a system, quantifying second-order effects.
• Controlled Experimentation: Build a permanent A/B testing program with standard test designs, power analysis, control/treatment splits, and decision records.
• Product Roadmap: Own the internal data roadmap—driving automated campaign adjustments, user segmentation, CPI variants, and audience targeting.
• Team & Governance: Set data definitions/taxonomy, maintain data warehouse quality, and recruit/lead a high-performing data team.
• Actionable Execution: Deliver findings directly to AdOps, Sales, and Executives in formats that can be acted on immediately.