Summary
Alexis Jacob is an engineering manager with 11 years of experience building scalable AI and cloud-native systems, now leading teams at Datadog after a six-year tenure shaping Deepomatic’s engineering organization. He has scaled engineering from hands-on backend and edge computer vision work to VP-level leadership, managing 20+ engineers across product squads and platform teams to deliver production-grade AI and SaaS platforms. Technically fluent in Python, GKE, model training pipelines (Caffe, TensorFlow, Darknet) and edge deployments, he bridges technical and non-technical stakeholders to make complex systems accessible and customer-focused. A strategic operator who sat on Deepomatic’s executive team, he pairs architecture and delivery oversight with mentoring and organizational design. Based in Paris, he brings a practitioner’s mindset—having built everything from distributed crawlers and image search indexing to secure user management for SaaS—while now scaling impact at enterprise observability. He’s equally at home debugging a CI pipeline or translating product needs into engineering roadmaps that drive measurable customer value.
11 years of coding experience
10 years of employment as a software developer
Computer Science / Business, Computer Science / Business at University of California, Berkeley
California State University, Long Beach
Epitech
Protection Civile
Ecole des Vins et Spiritueux
French, anglais (toefl 94)