KS

Keith Schreer

VP of Data at Trellis Technologies

Keith Schreer's work experience includes a role as the VP of Data at Trellis starting in 2022, where they are responsible for overseeing data-related functions. Prior to that, they held a role in Product, Analytics, and Data Science at Trellis from 2020 to 2022.

Before joining Trellis, Keith was the Director of Product at Tundra.com from 2019 to 2020, where they played a key role in the growth of the company's engineering team and overall business. Keith also achieved significant growth in buyer count and retention rates during their tenure.

From 2015 to 2018, Keith worked at Earnest Inc., first as a Group Product Manager responsible for loan servicing. Keith then became a Lead Product Manager and later a Senior Product Manager, where they successfully launched the company's iOS app.

Prior to that, Keith worked at PayPal from 2012 to 2015, initially as a Product Manager for Online Checkout, where they launched a feature called One Touch for Web. Keith also served as a Manager of Business Analytics, providing strategic advice to internal stakeholders and managing offshore teams.

In 2008, Keith worked as an Associate at ValueAct Capital, where they were part of a team managing public equity investments. Keith also led analysis on a $200 million investment that generated significant returns.

Keith began their career at McKinsey & Company in 2005 as a Business Analyst, advising top management on growth and corporate finance strategy. Keith was recognized as a top performer and offered a third-year position after completing the initial two-year program.

Keith Schreer completed their undergraduate studies in Electrical Engineering at Princeton University from 2001 to 2005, earning a BSE degree. Subsequently, they pursued higher education at Northwestern University - Kellogg School of Management from 2010 to 2012, where they achieved a Master of Business Administration (MBA) with Distinction. The field of study for their MBA is not specified.

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Timeline

  • VP of Data

    January 1, 2022 - present

  • Product, Analytics, Data Science

    January 1, 2020

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