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Mark Hay Email & Phone Number

Co-Founder & CTO at TextQL | Full Self Driving for Data Analysis at TextQL
Location: San Francisco Bay Area, United States 5 work roles 3 schools
1 work email found @facebook.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email m****@facebook.com
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Current company
Role
Co-Founder & CTO at TextQL | Full Self Driving for Data Analysis
Location
San Francisco Bay Area, United States

Who is Mark Hay? Overview

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Quick answer

Mark Hay is listed as Co-Founder & CTO at TextQL | Full Self Driving for Data Analysis at TextQL, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at facebook.com and a matched LinkedIn profile for Mark Hay.

Mark Hay previously worked as Co-Founder & CTO at Textql and Tech Lead at Meta. Mark Hay holds Bachelor’S Degree, Computer Science from Williams College.

Company email context

Email format at TextQL

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{first_initial}{last}@facebook.com
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AeroLeads found 1 current-domain work email signal for Mark Hay. Compare company email patterns before reaching out.

Profile bio

About Mark Hay

WHAT DOES TEXTQL DO?We help data teams save 30 hours a week on documentation and queryingHOW DO WE HELP?We document all of your data, tables, warehouse, models and dashboards. We surface those results to your business teams and answering data questions instantly. BACKED BY INVESTORS: ▹ Unshackled Ventures▹ Pioneer INTERESTED IN LEARNING MORE? - Book a meeting with me directly at zcal.co/i/KwB9yGkh- Send me an email directly at: mark [at] textql.com

Listed skills include Machine Learning, C++, Scala, Python, and 5 others.

Current workplace

Mark Hay's current company

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TextQL
Textql
Co-Founder & CTO at TextQL | Full Self Driving for Data Analysis
AeroLeads page
5 roles

Mark Hay work experience

A career timeline built from the work history available for this profile.

Co-Founder & Cto

Current

San Francisco, California, Us

Jan 2023 - Present

Tech Lead

Menlo Park, Ca, Us

Software development on a classification infrastructure team supporting one of the largestbackend services at Facebook at over 50M QPS; distributed execution for policy enforcement, automatic clustering, and natural language parsing.

Jul 2019 - Jan 2023

Software Developer

Minato-Ku, Tokyo-To, Jp

Options Market Making using Haskell. I wrote a tool for investigating systematic error in the pricing model, and helped with a rewrite of the market feed representation.

Jun 2018 - Sep 2018

Intern, Systematic And Quantitative

New York, Ny, Us

R/Python Development, Convolutional Neural Nets for Portfolio Construction

Jun 2017 - Sep 2017

Teaching Assistant

Williamstown, Ma, Us

TA for CS256: Algorithm Design and Analysis. Graded homework, held review sessions.

Nov 2016 - Jun 2017
3 education records

Mark Hay education

Bachelor’S Degree, Computer Science

Williams College

Visiting Student, Computer Science

University Of Oxford

High School

Saint George'S School
FAQ

Frequently asked questions about Mark Hay

Quick answers generated from the profile data available on this page.

What company does Mark Hay work for?

Mark Hay works for TextQL.

What is Mark Hay's role at TextQL?

Mark Hay is listed as Co-Founder & CTO at TextQL | Full Self Driving for Data Analysis at TextQL.

What is Mark Hay's email address?

AeroLeads has found 1 work email signal at @facebook.com for Mark Hay at TextQL.

Where is Mark Hay based?

Mark Hay is based in San Francisco Bay Area, United States while working with TextQL.

What companies has Mark Hay worked for?

Mark Hay has worked for Textql, Meta, Tsuru Capital Llc, Hutchin Hill Capital, and Williams College.

How can I contact Mark Hay?

You can use AeroLeads to view verified contact signals for Mark Hay at TextQL, including work email, phone, and LinkedIn data when available.

What schools did Mark Hay attend?

Mark Hay holds Bachelor’S Degree, Computer Science from Williams College.

What skills is Mark Hay known for?

Mark Hay is listed with skills including Machine Learning, C++, Scala, Python, Linux, R, Deep Learning, and Tensorflow.

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