Stephane Pinel

VP of Ai @Movable Ink

Redwood City, CA, US
EMAILS
s•••••@movableink.com
MOBILE NUMBERS
+14•••••••91

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WORK HISTORY

Sep 2025 — Present

VP of Ai @Movable Ink

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San Francisco, CA, US

Leads the AI strategy and the development of Agentic Marketing at scale.

EDUCATION

1996 — 1997

Paul Sabatier University (Toulouse, France)

Master's Degree, “DEA de conception de circuits micro-électroniques et micro-systèmes”

1995 — 1996

Paul Sabatier’s University (Toulouse, France)

Master's Degree, Electrical and Computer Engineering

1993 — 1995

Paul Sabatier’s University (Toulouse, France)

Bachelor's Degree, Electrical and Computer Engineering

1997 — 2000

Universite Paul Sabatier

PhD in Electrical and Computer Engineering

SKILLS

SqlLinuxRecommendation EnginesEmrData MiningRubyEmbedded SystemsData ScienceSoftware DevelopmentPythonBig DataStatistical ModelingAmazon Web Services (Aws)Statistical Data AnalysisScalaSparkIntegrationData WarehousingMysqlWirelessAgile MethodologiesR

ABOUT STEPHANE PINEL

Dr. Stephane Pinel is an innovative AI executive and hands-on distinguished scientist with 20+ years of experience. He is currently serving as the VP of AI at MovableInk where he leads the AI strategy and the development of Agentic Marketing at scale. Previously, he grew and led the Data Science/AI department at Mailchimp, defining the technical vision, strategy and applied research programs, and driving results from 2017 to 2023. Using AI and generative AI, the goal was to help small businesses build and execute their marketing plan, creating and optimizing personalized marketing content (text, image, design…). He oversaw several Data Science teams in a cross-functional collaborative environment, enabling customer facing product features and AI internal services, handling millions of customer facing predictions daily, and billions of stored predictions. It included several initiatives leveraging Deep Neural Networks, Large Language Models and computer vision (GPT, BERT, T5, CLIP, DALL-E…), multimodal content analysis and generation (text, images, graphical assets), personalization/recommendation engines, marketing strategies recommendation engine, look alike audience expansion, predictive demographics, customer lifetime value predictions, engagement metrics, causal inferences, marketing segmentation, churn/revenue forecasting, SPAM detection, abuse prevention and content moderation. Previously, he led the development of real-time recommendation engines and personalized smart search engines at Manheim-Cox Automotive. Prior to this, he built up the BI and Data Science team at Dealermatch (a social media startup company within Cox Automotive) and led the development of recommendation engines. At Logicblox (a Data Science startup), he developed Merchandise and Financial Planning (MFP) cloud based solutions, supply chain management and forecasting solutions for several large retailers (e.g. ToyRus, Walgreens, Best Buys,…) and Global Management consulting firms (e.g. Accenture). From 2006 to 2010, he was the CTO and Co-founder of a startup company developing 60GHz multi-gigabit low power low cost radio for Wireless HDMI. In he received a Ph.D. in microelectronics and microsystems. He has published over 170 journals, proceeding papers, 8 patents, 29 invention disclosure, Wireless Standards and book chapters. He gave numerous invited talks and organized numerous workshops at international conferences. His research interests included RF and millimeter-waves circuit design, Neural Network and Genetic Algorithms based designs.

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