6+ years in product management, with 3+ years owning a data, identity, or measurement platform where the output was an interface other teams built against rather than a dashboard.
Deep understanding of ad tech ecosystems, including campaign hierarchies, attribution models such as multi-touch and view-through, and audience segmentation and personalization frameworks.
MMP postback semantics across AppsFlyer, Adjust, and Singular. You know why the same install can be counted three different ways, and which of those ways you should be paying for.
Event taxonomy and schema governance experience. You have written a dictionary, enforced it against teams who would rather not, and dealt with the years of unvalidated data that predate it.
Hands-on experience with data platforms and pipeline tooling such as Kafka, Snowflake, BigQuery, Spark, Airflow, and dbt, sufficient to specify where a client-server event boundary should sit and negotiate that with SDK and web engineering.
Experience with privacy-preserving measurement, including SKAdNetwork, GAID and IDFA deprecation, consent systems, and what signal loss means for targeting and attribution.
Contract discipline. You write the guarantee down, instrument whether it held, and raise it when it does not.
Excellent leadership, communication, and stakeholder management across technical and non-technical audiences, in an organization where the teams you depend on report elsewhere.
Bachelor’s or Master’s in Computer Science, Engineering, Statistics, or a related field.