Senior Product Manager – Media Data & Measurement (AdTech)

Location: Hybrid role in Nuremberg, Bavaria, Germany

Salary: €70,000–€100,000 yearly

Company

hirify.global is a consumer intelligence company delivering consumer buying behavior insights, analytics, and media measurement solutions across more than 100 markets.

What you will do

• Define and own the vision, strategy, roadmap, and lifecycle for media data and measurement products.
• Manage digital on-device, census-based, and partner-provided measurement data sources.
• Define requirements for data collection, ingestion, quality assurance, scalability, and measurement readiness.
• Evaluate and manage strategic data and technology partners, including vendor relationships and dependency risks.
• Coordinate Product, Engineering, Data Science, Operations, Commercial, and Legal stakeholders to deliver strategic data initiatives.
• Support commercial growth by communicating measurement value and developing business cases for new data sources and partnerships.

Requirements

• 5+ years of Product Management experience in data-intensive, platform, analytics, measurement, or technology-focused environments.
• Experience managing data products, data platforms, integrations, or large-scale data ecosystems.
• Experience delivering scalable and reliable solutions with engineering and data teams.
• Experience influencing cross-functional stakeholders and managing external vendors, partners, or technology providers.
• Knowledge of product strategy, roadmap management, analytical problem-solving, and commercial decision-making.
• Professional English proficiency required.

Nice to have

• Experience in media measurement, audience measurement, AdTech, media analytics, market research, or related industries.
• Familiarity with digital measurement, census-based measurement, panel data, streaming data, return-path data, or identity and matching solutions.
• Understanding of data governance, privacy, and regulatory requirements.

Culture & Benefits

• Flexible working environment.
• Volunteer time off.
• LinkedIn Learning.
• Employee Assistance Program.
• AI tools may support recruitment workflows, with human oversight and final human hiring decisions.