Raphael Leiteritz
Board Member at INSEAD
Zurich, Zurich, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolRaphael Leiteritz is a board-level product leader, investor and former Senior Director of Product Management at Google with 12+ years of experience shaping multi-billion dollar consumer and retail products and leading large global teams. Based in Zurich, he co-founded the Product Management Festival and co-runs INSEAD’s Product Leadership Program, blending executive education with hands-on product coaching for leadership teams. He advises companies through Thiga and Peak Product, helping scale product orgs and go-to-market execution, and has been an active angel investor since 2014 with early stakes in standout companies like Substack, Vercel, Notion and Ramp. Raphael’s background spans startup founding and exits, enterprise security product strategy, and academic research leadership, giving him a rare mix of operator, investor and educator perspectives. He also contributes to scientific ML tooling on GitHub—working on data pipelines and PINN training improvements for the PDEBench benchmark—reflecting ongoing technical curiosity beyond executive roles. Colleagues value him for connecting product strategy to measurable business outcomes while mentoring the next generation of product leaders.
12 years of coding experience
17 years of employment as a software developer
MBA Business Administration, MBA Business Administration at INSEADMSc. Computer Science, MSc. Computer Science at Technische Universität Berlin
German, French, English
Github Skills (17)
data-generation10
hdf10
data-pipelines10
python10
machine-learning10
data-pipeline10
scientific-computing10
hydra9
data-visualization8
jax8
data-visualisation8
pytorch8
data-visualizations8
simulation7
neural-network7
Programming languages (4)
Github contributions (5)
pdebench/PDEBench
Aug 2022 - Dec 2022
PDEBench: An Extensive Benchmark for Scientific Machine Learning
Role in this project:
Data Engineer & ML Engineer
Data Engineer & ML EngineerContributions:1 release, 1 review, 16 commits in 4 months
Contributions summary:Raphael primarily contributed to data generation and preprocessing scripts, demonstrating involvement in the data pipeline. They implemented a new script for easier data access and visualization, along with modifications to existing data generation utilities. Furthermore, the user made changes to the PINN training process, addressing issues related to saving configuration data and optimizing parameters within the machine learning framework. They also integrated domain-specific techniques, evidenced by their work on the Radial Dam Break and other PDE datasets.
pytorchscientific-computingscimlmachine-learningsimulation
leiterrl/SGpp
Mar 2020 - Jun 2021
SG⁺⁺ – the numerical library for Sparse Grids in all their variants.
Contributions:8 PRs, 142 pushes, 2 branches in 1 year 3 months
pythonsplinesgridsfactorizationsparse
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