Position:
Economic Partner at Autotech Ventures
Location:
United States
Found email addresses for Mia Ramirez:
Found phones for Mia Ramirez:
Aug 2019 - Current
Nov 2016 - Aug 2019
Apr 2015 - Oct 2016
Oct 2013 - Apr 2015
Sep 2011 - Jul 2013
May 2009 - Sep 2011
Jun 2008 - Aug 2008
High School of Economics & Finance
Bachelor's degree at New York University
What is Mia Ramirez's email address?
SignalHire found verified email addresses for Mia Ramirez, both business and personal. Their business email is m*********z@autotechvc.com, and personal emails include m***@aol.com, m***@yahoo.com, and r***@autotechvc.com.What is Mia Ramirez's phone number?
SignalHire found multiple verified phone numbers for Mia Ramirez: +1-205-***-**45, and +1-870-***-**74.How do I contact Mia Ramirez at Autotech Ventures?
You can reach Mia Ramirez through SignalHire by unlocking their verified email and direct phone number (free signup, no credit card needed). SignalHire is the fastest route if you need their contact details immediately.What is Mia Ramirez's professional background?
Mia Ramirez has 18 years of professional experience. They have held roles including Vice President of Investment Management, Investment Management Director, and Investment Manager at companies such as Autotech Ventures, SoFi, and Charles Schwab. Their education includes High School of Economics & Finance, and Bachelor's degree from New York University.Is Mia Ramirez's contact information up to date?
Yes. Mia Ramirez's SignalHire profile was last updated on 16 December 2025, reflecting their current position as Economic Partner at Autotech Ventures in Menlo Park, CA, United States.SignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.
SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.