Fundraising Fox

Barr Yaron

Investor

Partner at Amplify Partners

United States

Writes $500K – $10M checks

About

Barr Yaron, former data scientist at Facebook and eBay and product lead at dbt Labs, brings AI infrastructure expertise, hosts an AI podcast, and once pitched herself to Beyoncé's team.

Contact· self-published, not guessed

Invests in

AI & Machine LearningCybersecurityData & InfrastructureDeveloper ToolsEnterprise Software

Beyond investing

Founded
Yaron founded Women of Startup Nation, an online community devoted to sharing the stories of technical women in Israel, and interviewed more than 150 technical women. She launched the Women of Startup Nation Accelerator, a full-time startup accelerator program run in partnership with Google. While at Stanford GSB, she and classmates launched the 20|20 Fund, a student community investment vehicle to invest in their own classmates.
Education
Studied at Harvard University (B.A., Mathematics) Studied at Stanford Graduate School of Business (MBA)
Communities
She once sent cold outreach to Beyonce's team pitching herself as a data scientist and began working with them the following week.
Hobbies
Outside of work she enjoys dancing, painting, watching musicals, spending time in nature, running, and hosting dinners, discussions, and board game nights.
Family
She grew up outside Philadelphia with her parents and younger brother; her parents emigrated from Israel before she was born.
More
She was an active angel investor prior to joining Amplify Partners.

From published sources — common ground for a warm intro.

Experience

  1. Amplify PartnersPartnercurrent2022 — present
  2. Sequoia CapitalScout2021 — 2022
  3. dbt LabsProduct2021 — 2022
  4. 20|20 FundFounding General Partnercurrent2019 — present
  5. Women of Startup NationFoundercurrent2016 — present
  6. BenchmarkMBA Intern2019
  7. Bain Capital VenturesMBA Intern2019
  8. AlephPre-MBA Intern2018
  9. FacebookData Scientist2016 — 2018Tel Aviv District, Israel
  10. Parkwood EntertainmentDigital Strategy2016New York City Metropolitan Area
  11. Brigade MediaData Scientist / Product Analytics Manager2015 — 2016San Francisco Bay Area
  12. eBay Research LabsApplied Researcher2014 — 2015San Francisco Bay Area
  13. Goldman SachsSummer Analyst2013New York City Metropolitan Area
  14. Harvard Business SchoolResearch Assistant2013Cambridge, MA
  15. Harvard UniversityComputer Science Teaching Assistant2012 — 2013
  16. Harvard UniversityApplied Mathematics Teaching Assistant2012
  17. Harvard UniversityEconomics Unit Test Grader2011 — 2012
  18. The White HouseIntern, Council of Economic Advisers2012Washington, D.C.
  19. The Wharton SchoolResearch Assistant2012Philadelphia, Pennsylvania

Skills & more

Research30Data Analysis24Statistics9Machine Learning2Teaching9Algorithms4Economics5Computer Science5Optimization5Fundraising3Editing2Python7
+11 moreMatlabMicrosoft ExcelJavaC (Programming Language)LaTeXBloomberg TerminalFinal Cut ProStataRLeadershipPublic Speaking

Languages English · French · Hebrew

From Barr's professional profile.

Investments

Per curated public sources.

Colleagues at Amplify Partners

Frequently asked questions

Who is Barr Yaron?
Barr Yaron, former data scientist at Facebook and eBay and product lead at dbt Labs, brings AI infrastructure expertise, hosts an AI podcast, and once pitched herself to Beyoncé's team.
Where does Barr Yaron work?
Barr Yaron is Partner at Amplify Partners.
What does Barr Yaron invest in?
Barr Yaron invests in AI & Machine Learning, Cybersecurity, Data & Infrastructure, Developer Tools, Enterprise Software.
What check size does Barr Yaron write?
Barr Yaron typically writes checks of $500K – $10M.
What companies has Barr Yaron invested in?
Investments tracked here include Axiom Bio, Chai Discovery, David AI, Gradium, Inception.
Where did Barr Yaron go to school?
Barr Yaron studied at Harvard University (Bachelor of Arts (B.A.), Applied Mathematics); Stanford University Graduate School of Business (Master of Business Administration - MBA); Stanford University (Statistics (Machine Learning)).

Same school

Shared employers