Onur Sirli has a diverse work experience, starting with their current role as the Chief Technology Officer at FastGrowingTrees.com since September 2022. Prior to this, they worked as a Software Engineering Manager at Meta from January 2022 to September 2022. In 2021, they served as the VP of Engineering at Regal Voice for a period of six months.
Onur has also held various positions at Attentive, starting as a Director of Engineering from August 2020 to March 2021. In this role, they led the Messaging Products organization, ensuring the delivery of engaging text messages to subscribers. Before that, they served as an Engineering Manager from March 2019 to July 2020, leading the Automation team in the Messaging domain and scaling the team from 2 to 14+ people.
Prior to their time at Attentive, Onur worked at Google as a Tech Lead/Manager from April 2017 to February 2019. In this role, they managed a team of engineers in the Asset Tracking space, focusing on decommissioning end-of-life assets and reverse logistics. Onur also worked as a Senior Software Engineer from June 2014 to April 2017, where they designed and developed scalable data systems and led cross-team integrations.
Before joining Google, they worked at Microsoft as a Software Development Engineer from October 2011 to June 2014. In this role, they designed and delivered quality controls for the XAML platform.
Onur's early career includes a residency as a Computer Engineer at METU - TAF Modelling and Simulation R&D Center from June 2010 to March 2011, where they developed solutions for a Generic Simulator project. Onur also worked as a Program Manager Intern at the Information and Communication Technologies Authority from August 2009 to October 2009.
Overall, Onur Sirli has extensive experience in technology roles, ranging from leadership positions to software engineering and development.
Onur Sirli attended Middle East Technical University (Orta Doğu Teknik Üniversitesi) from 2007 to 2011. During this time, they pursued a Bachelor of Science (BS) degree in Computer Engineering.
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