Simon Asselin
About Simon Asselin
Simon Asselin serves as the Chief Technology Officer at Infillion and has extensive experience in engineering and technology leadership, having previously held senior positions at companies such as Microsoft, Amazon, and Zynga.
Current Role at Infillion
Simon Asselin serves as the Chief Technology Officer at Infillion since 2022. In this role, he is responsible for overseeing the technological direction and strategy of the company, which operates in the advertising technology sector. His leadership focuses on enhancing product offerings and driving innovation within the organization.
Previous Experience at true[X]
Before joining Infillion, Simon Asselin worked at true[X] as the Chief Technology Officer starting in 2021, after serving as the Senior Vice President of Engineering from 2017 to 2021. During his time at true[X], he contributed to the development of advertising technologies and led engineering efforts to improve product performance.
Career Background in Technology
Simon Asselin has a diverse background in technology, having held various roles at prominent companies. He worked at Microsoft for over a decade in multiple capacities, including Senior Software Design Engineer Lead and Principal Software Design Engineer Lead. His experience also includes positions at Amazon as Senior Manager of Self-Serve Advertising and at Zynga as Director of Engineering.
Educational Background
Simon Asselin studied at Université Laval, where he earned a Bachelor of Science degree in Computer Science. This educational foundation has supported his extensive career in technology and engineering, particularly in the advertising sector.
Expertise in Advertising Technology
Simon Asselin possesses significant expertise in advertising technology, particularly in developing end-to-end product lifecycles for online display, search, and native advertising. He has a strong background in algorithm design and applied machine learning, focusing on programmatic advertising and real-time bidding. His skills also extend to demand and supply modeling, forecasting, and yield optimization.