Pedro Sá Silva
About Pedro Sá Silva
Pedro Sá Silva is a Product Manager at Talkdesk with extensive experience in software engineering, pre-sales engineering, and computer science education.
Current Title
Pedro Sá Silva is currently serving as a Product Manager at Talkdesk. In this role, he leverages his extensive background in software engineering, pre-sales, and product management to drive product innovation and development.
Previous Roles at WIT Software
Pedro Sá Silva worked at WIT Software in multiple capacities over a span of nearly eight years. He started as a Software Engineer from 2013 to 2018, then transitioned to Pre-Sales Engineer from 2018 to 2021. He briefly held the position of Lead Pre-Sales Engineer in 2021. During his tenure, he focused on mobile and web applications, messaging, SMS, and RCS projects, while providing technical assistance throughout sales cycles.
Education and Background
Pedro Sá Silva began his educational journey in IT Management at Coimbra Business School | ISCAC, where he earned his Bachelor's degree. He then pursued a Master's degree in ICT at Universidade de Trás-os-Montes e Alto Douro from 2009 to 2010. Furthering his expertise, he also studied Computer Science at the same university. His academic background laid the foundation for a diverse career in IT and product management.
Teaching Experience
Pedro Sá Silva has a rich background in teaching computer science. He served as a lecturer at Instituto Superior de Engenharia de Coimbra from 2013 to 2019 and at the Escola Superior de Educação de Coimbra from 2009 to 2012. He was also a computer science teacher at Instituto Superior de Contabilidade e Administração de Coimbra for three years. His teaching roles involved imparting knowledge on advanced computing subjects to university students, utilizing his professional experience.
Specialization in AI and Natural Language Processing
Pedro Sá Silva has showcased his expertise in AI and Natural Language Processing by participating in events like the Chatbot Summit. He has conducted training sessions focused on AI Natural Language Understanding systems and has made demos around the world in various verticals such as telecoms, banking, and insurance. This specialization marked his tenure as a Pre-Sales Engineer, where he handled AI team challenges and Natural Language Understanding topics.