Fatih Sunor
Data AnalystAI Ads / Monetization Leadership @ Meta
Meta
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Ads / Monetization Leadership @ Meta
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
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
Apple
Senior Engineering Manager
July 1, 2022 – September 1, 2025
San Francisco Bay Area · On-site
Meta
Engineering Manager, Ads Ranking Experimentation
October 1, 2020 – July 1, 2022
Menlo Park, California, United States
Medium
Senior Engineering Manager - Machine Learning
February 1, 2019 – October 1, 2020
San Francisco Bay Area
Tubi
Director of Machine Learning & Data Engineering
January 1, 2018 – April 1, 2019
San Francisco Bay Area
Nokia Technologies
Engineering Manager, Machine Learning
July 1, 2015 – January 1, 2018
Sunnyvale, CA
Netflix
Senior Machine Learning Engineer
January 1, 2013 – July 1, 2015
Los Gatos
Apple
Machine Learning Engineer
March 1, 2012 – January 1, 2013
Cupertino
Calypso Technology
Financial Engineer
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.