Howard (Hao) Zhang

Director of Sales Engineering at HEAL Software Inc.

Howard (Hao) Zhang has a diverse work experience in the field of sales engineering and service delivery. Howard (Hao) is currently working as the Director of Sales Engineering at HEAL Software Inc. since March 2020. Previously, they worked at Dynatrace from April 2014 to March 2020, where they served as the Sales Engineering Manager for the APAC region. Before that, Howard worked at Compuware from December 2011 to March 2020, holding various roles including Regional Service Enablement Manager and ITSM Subject Matter Expert. Howard (Hao) was responsible for managing service delivery, developing teams, increasing services pipeline, managing resources, enabling partners, and ensuring customer satisfaction. Additionally, they worked as a Field Technical Support Consultant at Compuware from February 2005 to October 2007, involving pre-sales and post-sales work for IT Service Management products. Prior to this, Howard worked at Fidelity Investments from June 1997 to February 2005, focusing on network application performance and network capacity planning. In 2019, they briefly founded their own consulting company called ZF Technology Consulting.

Howard (Hao) Zhang attended Boston College from 1993 to 1997, where they earned a Bachelor of Science (BS) degree in Finance & Computer Science. Howard (Hao) later pursued a Master's degree in Telecom from Boston University from 2000 to 2003. Additionally, Howard obtained a Master of Science (MS) degree in Telecommunications Engineering from Boston University, although specific dates for this degree are not available.

Location

Winchester, United States

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HEAL Software Inc.

HEAL Software is a preventive healing software for IT operations that fixes problems before they occur, which goes beyond the capabilities of today's AI-assisted APM and monitoring tools. HEAL can recognize signals that are indicators of future incidents and eliminate factors that can cause problems, as opposed to AI-driven monitoring toolsthat send alerts or find problem sources when an incident occurs. HEAL employs unsupervised AI to learn how a system operates under normal conditions and creates a dynamic baseline for the entire system and workload behavior; as a result, it can precisely signal upcoming issues and assists the ITOps team in problem prevention.


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Employees

51-200

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