JF

Jason Feng

Senior Product Insights Analyst at ServiceNow

San Francisco Bay Area

Overview 

Jason Feng is a Senior Product Insights Analyst at ServiceNow with a Kellogg MBA in AI, specializing in early-stage investing and creating investment theses, particularly in areas like Future of Mobility and ClimateTech. With experience at companies like eBay and IBM, Jason has honed skills in predictive modeling, fraud detection, financial analysis, and stakeholder relationship management. Highlights of Jason's career include his role as a Senior Product Insights Analyst at ServiceNow, where he applies his expertise in AI and early-stage investing to drive impactful decisions, and his experience at eBay and IBM, where he developed skills in data science, financial analysis, and stakeholder management.

Work Experience 

  • Senior Product Insights Analyst

    2024 - Current

ServiceNow Venture invests in a diverse range of innovative technologies across enterprise software.

  • Consultant

    2024 - 2024

Enterprise AI that automates security, compliance, and other high-value business operations in single platform

  • AI Research Fellow

    2023 - 2023

    Researched and published articles about intersections of AI with Big Tech, blockchain, low-code/no-code, and entrepreneurs/investors totaling 21K+ impressions

  • MBA Associate

    2022 - 2023

    Automated creation of reporting and dashboarding using R and Colab to operationalize key metrics

  • MBA Associate

    2022 - 2022

    The VC Fund for Everyone: - Investment participation in 2 early-stage startups (SaaS real estate platform, nutritional bar)

Sweater is a fintech company building the first fully-managed venture capital fund that is open to everyday investors.

Raised $14,300,000.00 from Kickstart, Eli Broverman, Nick Perez, Litquidity Capital, Monsen Ventures, Aaron Wolko, Bison Venture Partners, Nate O'Brien, Jeff Cruttenden and Spacestation Investments.

  • Capital Analyst

    2022 - 2022

Gen 1 Capital invests in deep tech firms that solve hard problems in a variety of industries and huge markets at an early stage.

  • MBA Fellow

    2022 - 2022

  • MBA Intern

    2021 - 2021

    Developed strategic initiative to reduce number of calls guest services place with predictive machine learning model in R based on historical reservations (collected with SQL) to calculate likelihood of T&S incidents

Kasa Living is a hospitality company that offers flexible accommodations for business and leisure travelers.

Raised $126,300,000.00 from Citi Ventures, Karman Ventures (fka Moving Capital), Fireside Ventures, FirstMark, Zigg Capital, Atacama Ventures, New York Life Ventures, RET Ventures, Ribbit Capital and Shane Neman.

  • Associate Manager

    2020 - 2021

    - Executed data platform migration by transferring 100+ SQL queries, 20+ scheduled processes, and 10+ dashboards from Teradata to Hadoop, ensuring seamless transition without disruptions to reporting - Created and delivered complex predictive machine learning models in R to assign risk scores for subscribers to determine likelihood of churn/cancellation requests on monthly basis

  • Senior Business Analyst

    2018 - 2020

    Strategized, created, and deployed visual demand and supply Tableau dashboard for deals prospecting, sales closing, and basis for external partnerships

EBay Ventures invests in disruptive companies that are revolutionizing the commerce landscape.

  • Data Scientist

    2018 - 2018

    Utilized statistical modeling techniques using SQL/SAS to identify suspicious physical therapy providers

  • Consultant

    2016 - 2018

IBM is an IT technology and consulting firm providing computer hardware, software, infrastructure, and hosting services.

  • Graduate Assistant

    2015 - 2016

    Course: Making Business Work

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