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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

Relevant Websites