Mark Yen is a seasoned engineering leader with 13 years building high-performance, data-intensive distributed systems, now leading Delivery Matching at Uber to optimize courier-job pairing at marketplace scale. He has deep experience architecting latency-sensitive platforms from his early work designing Uber’s global geospatial index and surge algorithms to founding self-driving fleet integration teams in Uber ATG. Mark has repeatedly scaled core data engines and carbon accounting systems—most recently running climate and customer-data infrastructure at Watershed and platform engineering at Sisu—bridging rigorous engineering with product impact. He combines hands-on systems design with people leadership, having grown and led multiple teams that shipped mission-critical services for real-time decisioning. Unusually, his background spans high-frequency trading, autonomous vehicle integrations, and climate tech, giving him a rare cross-domain perspective on performance, reliability, and operational data.
13 years of coding experience
11 years of employment as a software developer
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at Massachusetts Institute of Technology
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