Jeremy Poon
About Jeremy Poon
Jeremy Poon serves as the Head of Sales for APAC at Ascend.io, where he focuses on enhancing data engineering functions to improve business decision-making. He has extensive experience in sales and data pipeline processes, having held various leadership roles at companies like Elastic, Oracle, and Cisco.
Current Role at Ascend.io
Jeremy Poon serves as the Head of Sales for the Asia-Pacific (APAC) region at Ascend.io. He has held this position since 2023 and is based in Australia. In this role, he focuses on delivering data products to business tools and downstream applications efficiently. His responsibilities include advocating for fundamental changes in data engineering functions to enhance business decision-making.
Previous Experience at Elastic
Prior to his current role, Jeremy Poon worked at Elastic as the Regional Vice President from 2020 to 2023. He also served as a Sales Director at Elastic from 2018 to 2020 in Melbourne, Australia. During his tenure, he gained significant experience in sales leadership and strategy within the data management sector.
Career Background in Technology Sales
Jeremy Poon has an extensive background in technology sales, having held various positions at notable companies. He worked at Oracle as an Enterprise Account Manager from 2009 to 2012, at CommVault as an Enterprise Account Manager from 2012 to 2014, and as a Global Account Manager for Asia Pacific from 2014 to 2016. He also held positions at VMware and Dimension Data, contributing to his expertise in data pipeline processes.
Educational Background
Jeremy Poon studied Computer Science at Durham University, where he earned a Bachelor of Science degree from 1989 to 1993. This educational foundation has supported his career in technology and data management, equipping him with the necessary skills to excel in his roles.
Expertise in Data Pipeline Processes
Jeremy Poon specializes in data pipeline processes, including ingestion, transformation, orchestration, and observation. He is skilled in guiding data leaders to implement best practices in data pipeline management. His focus is on transforming ad-hoc and manual data processes into agile and efficient systems.