Antoine Paré
Head Of GTM at UMA
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAntoine Paré is a data-driven GTM leader and former DataOps/Solutions Engineer with nine years of experience turning complex scientific and ML problems into revenue-generating products across industries from oil & gas to AI robotics. Based in London, he has led European solutions and professional services teams at Covariant and now heads GTM at UMA, blending hands-on Python and cloud integrations with strategic customer and partner management. His background as a geophysicist and inventor—bringing lab-grade rigor, patent-driven instrument design and field deployments across five continents—gives him a rare ability to translate deep technical research into operational, commercial outcomes. Known for prioritising business impact over pure technical novelty, he builds repeatable DataOps patterns and pre-sales playbooks that accelerate adoption. He’s equally at home automating billion-record pipelines as he is presenting technical strategy to C-suite and customers, and he actively enjoys learning new cloud offerings to apply them cleverly.
9 years of coding experience
12 years of employment as a software developer
Cycle Preparatoire Integre Engineering, Cycle Preparatoire Integre Engineering at Grenoble INP - UGADUT in Applied Physics (HND equivalent) Physics, DUT in Applied Physics (HND equivalent) Physics at Université Joseph Fourier (Grenoble I)Scientific Baccalaureat graduated with honours specialised in Physics & Chemistry, Scientific Baccalaureat graduated with honours specialised in Physics & Chemistry at Camille Vernet High School, Valence (France)
French, English, Italian
Github Skills (13)
signal-processing9
science9
toolbox9
earthquake9
seismology9
apl8
origami8
obspy8
data-center8
python8
phonetics8
api-client2
api2
Programming languages (1)
Github contributions (5)
pareantoine/VSP-Processing
Apr 2017 - Mar 2018
Contributions:30 commits, 4 PRs, 37 pushes in 10 months
python
pareantoine/time-series-millenium-goals
May 2019 - May 2019
Analyse a dataset showing progress towards the United Nations development goals and predict 1 year and 5 years into the future
Contributions:3 pushes in 1 day
goalsunited-nationsdatasetpredictnations
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