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Metro-based mid-level Product Manager role with a popular title and 3–5 year range increases competition.
Strong AdTech and ML-product emphasis makes skills less transferable across unrelated industries.
Explicit 3–5 year requirement plus 1–2 years AdTech experience and technical skills make screening strict.
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Own and prioritize the Data Science team backlog focused on ML-driven features like bidding algorithms, fraud detection, and audience modeling.
Analyze and validate ML model outputs against KPIs; lead algorithm performance investigations and support A/B test design and analysis.
Manage ad and traffic quality operations including fraud investigations, blacklist management, compliance cycles, and audit support for MRC/TAG standards.
3–5 years in product, analytics, or technical roles collaborating with data science/ML teams.
1–2 years experience in AdTech or programmatic advertising.
Hands-on experience testing or analyzing ML model outputs; strong analytical skills including SQL and basic statistics.
Solid product management skills including backlog management, user story definition, and stakeholder communication.
Experienced in managing ML-driven products with ability to bridge technical and business stakeholders.
Detail-oriented and analytical with experience in fraud operations and compliance within digital advertising.
Comfortable working with AI/ML model analysis and familiar with MRC/TAG standards and A/B testing frameworks.