MS

Matt Shobe

Product interests in generative media, homeland security, and regional pizza.

Mercer Island, Washington

Invests in

Stages:

  • Min Investment:

    $0.00
  • Max Investment:

    $0.00
  • Target Investment:

    $0.00

Education

Work Experience

  • Board Member

    2024

    Foundations is an in-person, invite-only community of tech founders & entrepreneurs in Seattle. I am helping define its community program structure to encourage pre-seed founders to home their companies here and for experienced operators, investors, and other sharp people from all walks to become members.

2023

  • Co-Founder

    2023

    Tuze combines live sports data and large language models to deliver game predictions, recaps, and more, covering over 20 collegiate and pro sports. Expanding to additional domains soon.

  • Advisor

    2013

    In 2013 I designed and built initial social media engagement dashboards for sports teams, players, and leagues. Worked with CEO to build initial bidev relationships in the US and UK with organizations like Seattle Seahawks/Sounders and Manchester United. I still consult with the company on-demand.

  • Affiliate Assistant Professor

    2011

    - Teaching Video Prototyping HCDE 526, Fall Quarter 2024 - Member of Human Centered Design & Engineering Department's External Advisory Board - Sponsored the Shobe Prize for UW student entrepreneurs, 2010-2015 - Many other direct engagement activities on campus

2019 - 2022

  • Simulation & AI Product Leader

    2019 - 2022

    As an early stage employee at Rebellion: - Established a new Seattle office as a U.S. product engineering hub - Wrote, designed and launched second major company website revision (early 2020) - Developed synthetic data product roadmap to accelerate computer vision efforts - Prototyped mission replay and visualization tools for autonomy applications - Helped architect Rebellion's company values - Lead brand storytelling exercises to prepare anyone in the company to talk to customers

  • Co-Founder & Chief Experience Officer

    2014 - 2019

    As one of four co-founders, I focused on product strategy and all aspects of user experience. Additionally, as a generalist: - Hired and led the UX design & research team - Set up customer support and workforce community management - Evangelized Mighty product vision at industry events and webinars - Conducted investor relations/development to support the CEO - Developed (and occasionally coded!) internal ops tools and reporting Acquired by Uber June 2019.

2014 - 2014

  • Product & User Experience

    2014 - 2014

    As a product designer, I focused on investors who used AngelList's startup investment platform. - Designed angel investment performance reporting - Applied the 5-Day Design Sprint method to prototype and test a hiring mobile app design - Created the service design and built initial application review tools for a new investor vetting/education process - Helped run syndicate investment operations, assisting in closure of over dozen+ successful seed round raises totaling over $2M

2011 - 2012

  • Chief Design Officer

    2011 - 2012

    As CDO, I helped design the next gen of BigDoor's gamified loyalty platform for partners like MLB, NFL, Dell, and the City of Austin, Texas.

2007 - 2011

  • Staff User Experience Designer

    2007 - 2011

    As a user experience designer: - Spearheaded various efforts to incorporate the key parts of FeedBurner into the overall Google publisher product mix - Designed and launched the initial version of Google Apps Enterprise Marketplace - Proposed a strategy to better map the complexity of advertising tools to match publisher scale - Designed early enterprise versions of Google Hangouts/Meet - Won two Founders Awards for work on ads products

2004 - 2007

  • Co-Founder & Chief Design Officer

    2004 - 2007

    from my FeedBurner "About" Page entry: Credited as the original "voice of FeedBurner," Matt also maintains an unwavering devotion to the FeedBurner fan club. If publishers and advertisers want it, his team brandishes the t-squares and slide rules required to make it happen. Acquired by Google 2007.