You'll be building solid data products, helping our Monetization team optimize conversion and revenue, but you'll also be responsible for ensuring that our product and engineering teams own the quality of the data they produce. This role is 100% remote and open to candidates based in Germany, Spain, Portugal or the UK.

Our product generates billions of data points every month, and our development teams run hundreds of experiments a year. Set the data quality bar: what gets tested when data comes in, what gets tested once it's transformed, what gets tested in the reporting layer and what anomaly detection catches before a stakeholder spots it

Move that responsibility upstream to the teams producing the data. Own the path from raw event data to curated, ready-to-use datasets in our self-service BI tool

Take on the strategy side of squad analytics:



how PMs and engineering managers use data when they make decisions

Event tracking, funnel and user journey analysis, experiments. You've run plenty of A/B tests, and you can talk through bandits, quasi-experiments and where Bayesian and frequentist approaches part ways

You've built a data quality regime. You write SQL all day and Python when you need it, and dbt is how you transform data

When you take an analysis to a PM, it comes with what you'd do next. Dagster or Airflow for scheduling

Data catalogues like DataHub

Snowflake

If you've worked with a cloud warehouse, dbt and an experimentation platform in some form, the patterns

📌 Product Manager Team Leader (Andalucía)
🏢 YAZIO
📍 Andalucía