AK

Amelia Kaufman

Principle Software Engineering Manager at Georgia Tech Research Institute

Engineering Manager Manager
e***@gatech.edu Sign up
Pro only
Pro only
Pro only
San Francisco, California, United States

Company Details

Industry: higher education
Employees: 20000
Revenue: 2325300000
Funding: 64249952
HQ Location: Atlanta, Georgia, United States
Company LinkedIn: Pro only

Professional Summary

Amelia Kaufman is Principle Software Engineering Manager at Georgia Tech Research Institute. Georgia Tech Research Institute operates in the higher education industry and has 20000 employees. Based in San Francisco, California, United States. Classified as a manager-level Engineering Manager leader. Their organization's technology stack includes Amazon CloudFront, Route 53, Outlook, Microsoft Office 365, Amazon AWS, and 70 other technologies. Georgia Tech Research Institute reports annual revenue of 2325300000. Georgia Tech Research Institute has raised 64249952 in total funding.

Industry & Role Insights

  • CTO Rank tracks 128,091 Engineering Manager leaders with verified contact information.
  • There are 4,989 tech leaders in the higher education industry in our database.
  • We have verified contacts for 21 tech leaders at Georgia Tech Research Institute.
  • 48,652 tech leaders in California are available in our database.
Manager level · Engineering Manager
Verified Apr 25, 2026

Position in the CTO Rank Database

  • Amelia Kaufman is 1 of 128,998 leaders with the Engineering Manager role tracked in the CTO Rank database.
  • 447 hold the Engineering Manager role at higher education companies (out of 5,022 total higher education leaders in our database).
  • 15,894 hold the Engineering Manager role in California.
  • 708 hold the Engineering Manager role at companies with 20000 employees.
  • Typical Engineering Manager compensation in California: $150,000 – $280,000 (median $200,000). Composite from levels.fyi, Glassdoor, and Payscale data; adjusted for state cost of labor.

Data compiled from LinkedIn public profiles, company filings, and verified public technology signals. Methodology & sources · Updated May 2026.

Frequently Asked Questions

How do I contact Amelia Kaufman?

Amelia Kaufman has a verified email address on file on CTO Rank. They work at Georgia Tech Research Institute. Pro members can access direct email addresses, LinkedIn profiles, and phone numbers.

What company does Amelia Kaufman work for?

Amelia Kaufman is Principle Software Engineering Manager at Georgia Tech Research Institute, a company in the higher education industry with 20000 employees. The company is headquartered in Atlanta, Georgia, United States.

What is Amelia Kaufman's role in technology leadership?

Amelia Kaufman is classified as a Engineering Manager leader at the manager level.

What technologies does Amelia Kaufman's organization use?

Amelia Kaufman's organization uses a technology stack that includes Amazon CloudFront, Route 53, Outlook, Microsoft Office 365, Amazon AWS, iHotelier (TravelClick). This information is useful for sales teams, recruiters, and technology vendors.

Is Amelia Kaufman open to recruiting or new opportunities?

CTO Rank does not track open-to-work status. The best approach is to reach out directly to Amelia Kaufman using the verified contact information available to Pro members. When recruiting a Principle Software Engineering Manager, personalizing your outreach with specifics about the role and tech stack typically yields the best response rate.

Can I pitch or sell to Amelia Kaufman at Georgia Tech Research Institute?

Amelia Kaufman is Principle Software Engineering Manager at Georgia Tech Research Institute. Engineering Managers like Amelia Kaufman typically evaluate vendors in Amazon CloudFront, Route 53, Outlook, and related categories. Use CTO Rank Pro to get verified email and approach directly.

How accurate is Amelia Kaufman's profile data?

CTO Rank verifies and refreshes profile data weekly. Amelia Kaufman's profile includes verified contact details, company information, and technology stack data sourced from multiple public and proprietary sources.