Apr 2019 - Current
Jun 2009 - Mar 2023
Bachelor of Science - BS at University of Wisconsin-Madison
Name: Traild
Speciality: Invoice Management, Fraud Detection, Payment Protection, Automated Invoice Processing, Workflow Management, Anomaly Detection, Vendor Management, Vendor Compliance , Employee Fraud Protection, Business Email Compromise (BEC) Protection, Social Engineering Detection, Accounts Payable, Accounts Payable Automation, Procurm, Procurement, Payments, Workflow Approvals
Location: Denver, Colorado, United States
Employees: 200-500
HQ Phone: +1-303 535 4486
Description: Traild is a deeply integrated Accounts Payable solution focused on twin issues, AP efficiency and Financial Control. The software has been designed to help businesses unlock effort...
What is Michael Schmidt's minimum period of employment in the companies?
Michael Schmidt's minimum period of employment in various companies is 13 years 9 months.What is Michael Schmidt's average duration of employment for different companies?
On average, Michael Schmidt works for one company for 13 years 9 monthsWhat industries has Michael Schmidt worked in?
Michael Schmidt works in the Computer Software. Previously, Michael Schmidt worked in the Automotive.What positions has Michael Schmidt held before?
Previously, Michael Schmidt worked as a Supply Chain Manager.How do I contact Michael Schmidt?
Michael Schmidt's email address is m*******s@traildsoftware.com, phone number is +1-***-***-4527. Sign up to get contact details.Who are Michael Schmidt's peers at other companies?
Michael Schmidt's peers at other companies are Elkana Oliver Wilmi and Paul Dube and Magen IngramSignalHire 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.