John Foley
Staff Strategy & Operations Lead
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolJohn Foley is a seasoned software engineer and operations strategist with 13 years of cross-functional experience building product and growth initiatives at Scale AI, Intuit, Grubhub, and Yesware. He blends full-stack engineering chops with strategic operations leadership—most recently transitioning into Staff Strategy & Operations at Handshake after leading emerging talent and product operations at Scale AI. His background in Information Systems (Carnegie Mellon) and an MS in Artificial Intelligence (Northeastern) informs a data-driven approach to marketplace and developer-facing products. Comfortable shipping backend systems and end-to-end features, he has repeatedly moved between hands-on engineering and high-impact program leadership, accelerating hiring, growth, and strategic projects. Based in New York, he pairs a startup mentality with enterprise experience, often surfacing operational levers that unlock technical roadmaps and talent pipelines. An understated strength is his ability to translate complex AI and product trade-offs into actionable operational plans that scale.
13 years of coding experience
4 years of employment as a software developer
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Northeastern UniversityBachelor of Science - BS Information Systems, Bachelor of Science - BS Information Systems at Carnegie Mellon University
Stackoverflow
967reputation
29kreached
32answers
2questions
Github Skills (117)
cffi10
reflection10
spell10
text-mining10
utility10
causality9
rust9
testing9
cpython9
pypy9
pip9
machine-learning9
multiple-choice9
mergesort9
explore9
Programming languages (8)
Github contributions (5)
jjfiv/galago-git
Jun 2013 - Feb 2019
Contributions:616 commits, 143 pushes, 2 branches in 5 years 8 months
jjfiv/fastrank
Jul 2019 - Nov 2022
My most frequently used learning-to-rank algorithms ported to rust for efficiency. Try it: "pip install fastrank".
Contributions:7 releases, 2 reviews, 213 commits in 3 years 4 months
pythonpiprustmachine-learningranklib
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