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Senior Product Manager - Analytics

AppsFlyer - Herzliya

Posted Mar 11, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Market context

Median wage (BLS OEWS)
$102,662 national median
Projected growth (BLS Employment Projections)
+5.4% - Faster than average

Matched to SOC 11-1021 - Product Management aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

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About this role

Senior Product Manager - Analytics Herzliya AppsFlyer is the global leader in mobile attribution and marketing analytics, empowering thousands of the world's leading apps and brands to make smarter growth decisions. Our Analytics products sit at the core of our Measurement offering - transforming complex attribution, revenue, and performance data into trusted, actionable insights that drive marketing strategy at scale. We are looking for a Senior Product Manager to join our Analytics team within the Measurement group. In this role, you will own a core analytics domain used daily by global advertisers to measure, interpret, and optimize their marketing performance. You will work at the intersection of large-scale data, attribution complexity, privacy-driven measurement changes, and AI-powered capabilities - shaping how customers understand and rely on their marketing data. This is a high-impact, highly visible role with direct influence on customer trust, product strategy, and the evolution of AppsFlyer's analytics platform. What you'll do - Own a core Analytics domain end-to-end - from discovery and strategy definition to execution, launch, and continuous improvement. - Define and drive the roadmap for dashboards, metrics, and data experiences serving enterprise marketing teams. - Balance stability, scalability, and innovation in a complex, data-intensive environment. - Lead initiatives that modernize and consolidate analytics capabilities across multiple attribution sources. - Shape the integration of AI-powered capabilities into analytics experiences, enhancing how customers interpret performance data. - Work closely with R&D (Backend, Frontend, Data Engineering) to build scalable, high-performance analytics products. - Partner with Sales and Customer Success

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