Alex Shearer
Head of GTM AI and ML at Square
ex-LinkedInI empower people to solve business problems using data and statistical methods. I'm passionate about managing with excellence, transparency, and empathy.
GTM Index
- SQUAREJOB
- Lead for GTM AI and ML1Y 1M
Lead for GTM AI and ML
Square
I lead an engineering group tasked to develop AI and machine learning products that empower Block’s GTM functions. Matching prospective customers with the right products, maximizing campaign ROI, and identifying strategic segments are all examples of work that the team delivers. We use whatever tool is most suitable for the job; our work ranges from traditional machine learning (e.g. linear models, ensembles of e.g. decision trees) to more recent AI technologies (LLMs, RAG, etc).
- Machine Learning Eng Mgr3Y 8M
Machine Learning Engineering Manager
Square
I lead a ML/DS team to optimize marketing initiatives. I lead my team with trust, empathy, and excellence.
- Senior Machine Learning Eng1Y 9M
Senior Machine Learning Engineer
Square
- LINKEDINJOB
- Data Scientist1Y
Data Scientist
LinkedIn
I work closely with Product and Engineering teams across multiple business verticals to explore the behavior of members, design novel product features, and measure the performance of those features. Current focus is on growing KPIs among international and specialized-domestic member segments. I use a wide range of technical tools: SQL and Python for adhoc analysis, Python with sklearn for modeling, and Spark Scala for scheduled production flows.
- DOXIMITYJOB
- Data Scientist1Y 3M
Data Scientist
Doximity
Full-stack data scientist with a focus on building new products and communicating the value of data to non-technical stakeholders. Improving Doximity's newsfeed product using machine learning deployed in Spark and Python, and automated via Airflow.
- Data Analyst7M
Data Analyst
Doximity
Responsible for building and improving novel models and tools that support the sales team at Doximity. Used MySQL, Python, R, and Apache Spark to prototype, test, and improve code that pulls, munges, aggregates, and plots data. The results of the analytics tools I developed and maintained drove a double-digit (exact number redacted) percentage of sales during my tenure; I occasionally presented these results personally, for high value clients.
- UC BERKELEYJOB
- Graduate Student Researcher5Y 9M
Graduate Student Researcher
UC Berkeley
- Ultrafast spectroscopy of thin films on metal and semiconducting substrates. - Automated data collection, processing, and analysis in Python and Matlab. - Presented at 2 international conferences and published 9 peer-reviewed papers
- INSIGHT DATA SCIENCEJOB
- Data Science Fellow2M
Data Science Fellow
Insight Data Science
- Consulted for local startup in public transportation space - Stored and queried data using PostgreSQL and Pandas - Used mean-shift unsupervised learning approach to increase customer base - Created interactive visualization dashboard using Google Maps API
- UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILLJOB
- Undergraduate Researcher1Y
Undergraduate Researcher
University of North Carolina at Chapel Hill
Synthesis and characterization of novel materials for carbon dioxide reduction.
- Undergraduate Researcher9M
Undergraduate Researcher
University of North Carolina at Chapel Hill
Fabrication and testing of carbon-based microelectrodes for in-vivo sensing of nitric oxide, a vasodilating chemical. Vasodilators help regulate blood flow in the body by expanding or contracting arteries; these processes are important to normal bodily functions and also play a role in the effect of drugs such as Viagra.
- FRIEDRICH-ALEXANDER-UNIVERSITY OF ERLANGEN-NÜRNBERGJOB
- DAAD Researcher3M
DAAD Researcher
Friedrich-Alexander-University of Erlangen-Nürnberg
Surveyed a range of novel chemical species for use in solar energy harvesting devices. Collected data using electrochemical methods, then cleaned the data using Python and performed analyses with Origin 8 software.
- Job: Square — Lead for GTM AI and ML · 2025-01 – 2026-02 · 1y 1mo — I lead an engineering group tasked to develop AI and machine learning products that empower Block’s GTM functions. Matching prospective customers with the right products, maximizing campaign ROI, and identifying strategic segments are all examples of work that the team delivers. We use whatever tool is most suitable for the job; our work ranges from traditional machine learning (e.g. linear models, ensembles of e.g. decision trees) to more recent AI technologies (LLMs, RAG, etc).
- Job: Square — Machine Learning Engineering Manager · 2021-04 – 2024-12 · 3y 8mo — I lead a ML/DS team to optimize marketing initiatives. I lead my team with trust, empathy, and excellence.
- Job: Square — Senior Machine Learning Engineer · 2019-07 – 2021-04 · 1y 9mo
- Job: LinkedIn — Data Scientist · 2018-06 – 2019-06 · 1y — I work closely with Product and Engineering teams across multiple business verticals to explore the behavior of members, design novel product features, and measure the performance of those features. Current focus is on growing KPIs among international and specialized-domestic member segments. I use a wide range of technical tools: SQL and Python for adhoc analysis, Python with sklearn for modeling, and Spark Scala for scheduled production flows.
- Job: Doximity — Data Scientist · 2017-02 – 2018-05 · 1y 3mo — Full-stack data scientist with a focus on building new products and communicating the value of data to non-technical stakeholders. Improving Doximity's newsfeed product using machine learning deployed in Spark and Python, and automated via Airflow.
- Job: Doximity — Data Analyst · 2016-07 – 2017-02 · 7 mo — Responsible for building and improving novel models and tools that support the sales team at Doximity. Used MySQL, Python, R, and Apache Spark to prototype, test, and improve code that pulls, munges, aggregates, and plots data. The results of the analytics tools I developed and maintained drove a double-digit (exact number redacted) percentage of sales during my tenure; I occasionally presented these results personally, for high value clients.
- Job: UC Berkeley — Graduate Student Researcher · 2010-08 – 2016-05 · 5y 9mo — - Ultrafast spectroscopy of thin films on metal and semiconducting substrates. - Automated data collection, processing, and analysis in Python and Matlab. - Presented at 2 international conferences and published 9 peer-reviewed papers
- Job: Insight Data Science — Data Science Fellow · 2016-01 – 2016-03 · 2 mo — - Consulted for local startup in public transportation space - Stored and queried data using PostgreSQL and Pandas - Used mean-shift unsupervised learning approach to increase customer base - Created interactive visualization dashboard using Google Maps API
- Job: University of North Carolina at Chapel Hill — Undergraduate Researcher · 2009-01 – 2010-01 · 1y — Synthesis and characterization of novel materials for carbon dioxide reduction.
- Job: Friedrich-Alexander-University of Erlangen-Nürnberg — DAAD Researcher · 2009-05 – 2009-08 · 3 mo — Surveyed a range of novel chemical species for use in solar energy harvesting devices. Collected data using electrochemical methods, then cleaned the data using Python and performed analyses with Origin 8 software.
- Job: University of North Carolina at Chapel Hill — Undergraduate Researcher · 2007-11 – 2008-08 · 9 mo — Fabrication and testing of carbon-based microelectrodes for in-vivo sensing of nitric oxide, a vasodilating chemical. Vasodilators help regulate blood flow in the body by expanding or contracting arteries; these processes are important to normal bodily functions and also play a role in the effect of drugs such as Viagra.
- School: University of California, Berkeley — Doctor of Philosophy (Ph.D.), Physical Chemistry
- School: University of North Carolina at Chapel Hill — Bachelor's Degree, Chemistry
Skills
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