Jacob Hilton
Global Brand Manager - Lysol at Reckitt
New York City Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolJacob Hilton is a seasoned brand manager with 11 years of experience building and activating household consumer brands, currently leading Lysol on the global stage from the New York City area. He has risen through multiple roles at Reckitt—from assistant brand manager to Global Brand Manager—driving product launches, SKU rationalization, eCommerce coordination, and award-winning consumer campaigns. Jacob combines rigorous market analysis (Nielsen-driven insights and forecasting) with hands-on activation skills—pack artwork, in-store and digital creative, and cross-functional project leadership across Regulatory, R&D, Trade and Legal. His background includes an MBA in Marketing & Global Management and prior experience in education and international teaching, reflecting strong communication and stakeholder engagement abilities. Unusually for a brand leader, he has contributed to open-source ML tooling (reinforcement-learning utilities in the popular lucid/tensorflow repo), signaling a technical curiosity that informs data-driven marketing decisions. Colleagues describe him as a strategic operator who translates consumer insight into creative, measurable brand growth.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (BA) History, Bachelor of Arts (BA) History at University of North Carolina at CharlotteMaster of Business Administration (M.B.A.) Marketing & Global Management, Master of Business Administration (M.B.A.) Marketing & Global Management at The George Washington University School of Business
Github Skills (8)
machine-learning10
tensorflow10
python10
reinforcement-learning10
numpy9
jupyter-notebook9
google-colab8
google-colaboratory8
Programming languages (6)
Github contributions (5)
tensorflow/lucid
Sep 2019 - Nov 2020
A collection of infrastructure and tools for research in neural network interpretability.
Role in this project:
ML Engineer
ML EngineerContributions:11 commits, 6 PRs, 10 pushes in 1 year 2 months
Contributions summary:Jacob primarily contributed to the `lucid/scratch/rl_util` directory, implementing and refining utilities for reinforcement learning tasks. Their work includes refactoring code for attribution methods, adding functions for calculating gradients, and creating a notebook demonstrating these utilities. They also fixed bugs related to data types in convolution operations.
pytorchinterpretabilitydeep-learningjupyter-notebookinfrastructure
jacobhilton/strategolegends
Sep 2017 - Oct 2024
Contributions:7 pushes, 1 branch in 7 years 2 months
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