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AI Ads / Monetization Leadership @ Meta
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Assessing your cultural and operational fit
Stanford University
Master of Science (MS), Computational & Mathematical Engineering
January 1, 2010 – January 1, 2012
Boğaziçi University
Bachelor of Science - BS, Statistics, CS, OR
January 1, 2001 – January 1, 2005
Meta
AI Ads / Monetization Leadership
October 1, 2025 – Present
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Cupertino
Calypso Technology
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August 1, 2007 – March 1, 2012
San Francisco Bay Area
Cultural Fit Analysis
The candidate has a strong background in large, fast-paced tech environments (Meta, Apple, Netflix). The progression through various leadership roles in ML and data engineering indicates adaptability and a drive for growth. The target role is 'Data Analyst', which is a significant shift from their recent leadership roles in AI/ML engineering and management. While the foundational skills in data analysis and machine learning are present, the cultural fit for an individual contributor Data Analyst role, after years of senior management, might require further assessment regarding hands-on technical depth versus strategic oversight. The breadth of experience across different companies and domains (ads, recommendations, financial engineering) suggests a diverse perspective.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (Engineering Manager, Director) at major tech companies suggests strong operational fit, including team leadership, project management, and strategic decision-making. The descriptions of designing and implementing systems, monitoring metrics, and leading research teams indicate strong problem-solving and execution capabilities. However, specific soft skill assessments are not available.