Mercedes Soria

Mercedes is EVP and Chief Intelligence Officer at Knightscope where she was part of the founding team and recently took the company public. She brings extensive engineering experience from her current role and past roles at companies at different stages of their lifecycle from startups to well-established companies like Deloitte. She is passionate about leveraging technology & business model disruption to build important value-creating Enterprise and Consumer companies. She focuses on Machine learning and Artificial Intelligence.

Prior to her roles at Knightscope, she was at Deloitte and GMI working on key multi-million dollar cloud software platforms that redefined enterprise HR, Compliance, and Knowledge Management with the latest technologies. She has successfully managed global engineering teams with a process-oriented attitude.

Mercedes has a clear history for “getting things done” and demonstrated track record for managing a team through a structured development process including planning for tests, successive releases, issue management, etc. She holds BS and MS degrees in Software Engineering and is an alumnus of the Harvard Business School, Emory University, and MIT.

She is a member of the Forbes Technology Council and has been named the most influential Woman in Silicon Valley. She was also awarded the GHC Abie award for Leadership and she was shortlisted for the Innovator of the year award for Women in IT in Silicon Valley.

Mercedes is also a Speaker for the Department of State of the USA on technology and women in STEM.

Mercedes is part of the US Department of State’s TechWomen program where she coaches women in STEM fields from Africa, the Middle East, and Asia whom she coaches about technology and entrepreneurship.

Related sessions

Robotics for Good

12 April 2022

Robotics for Good

Urban robots: Towards smarter and more sustainable cities

16:00 - 18:00 CEST, Geneva | 22:00-00:00 CST, Beijing | 10:00-12:00 EST, New York

Katja Schäfer (UN-Habitat), Melissa Permezel (UN-Habitat), Fábio Duarte (MIT Senseable City Lab)...

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Mercedes Soria

Mercedes Soria

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