Alex Hartz
General Partner at Shine Capital
Alex Hartz
General Partner at Shine Capital
San Francisco, California
Overview
Work Experience
General Partner
2024 - Current
Partner
2023 - 2024
Partner
2018 - 2023
SciFi is an early stage generalist firm with emphasis on fintech, marketplaces, and science. Led the first round for: AccessOS, Aven, Empora Title, Ganymede, Pathpoint, Peach Finance, Rendition, Settle, and StoryTime. Early investor in: AgentSync, Anchorage, Brex, Bunkerhill Health, Capchase, Clipboard Health, CloudTrucks, Divvy Homes, Hugo Insurance, Loft, OwnIt, Pomelo, Psi Quantum, Sentilink, SmithRx, Synthego, Traba, Virta Health, and many others.
Associate
2017 - 2018
Analyst
2015 - 2016
Strategist
2015 - 2016
Summer Analyst
2014 - 2014
• Performed due diligence, market research and analysis, screening, and other tasks to facilitate angel investing activities • Attended dozens of startup pitches and interacted with executives from portfolio companies
Summer Undergraduate Research Fellow
2013 - 2013
• Designed and simulated optical nanobeam resonators for on-chip, integrated quantum networks for applications in Quantum Information Processing and Secure Communications • Collaborated with professor, post-doctoral scholars, and graduate students to optimize designs subject to fabrication constraints • Scripted in Scheme, Perl, and Linux Bash Shell
Software Engineering Intern
2011 - 2012
• Designed, developed, and implemented web-based programs for internal management applications used by approximately 300 employees • Collaborated with another software engineer to integrate programs with existing infrastructure • Worked closely with mid-level and upper-level management to set initial project goals, determine specific functionality requirements, and facilitate program integration upon completion of development • Completed web development projects using JavaScript, HTML, CSS, SQL, and C#
Computational Genetics Research Intern
2010 - 2010
• Analyzed genetic imputation accuracy in African Americans by comparing the results of multiple imputation algorithms using several input reference populations; analyzed data sets on the order of several gigabytes • Worked closely with staff-scientist and professor to set research goals and perform specific analyses • Determined combination of genetic imputation software and reference population to maximize genetic imputation accuracy in African Americans
Education
Bachelor of Science (BS)
2011 - 2015