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Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
James Rebesco is a distinguished AI and data science leader with over a decade of experience building and heading high-impact teams. With a Ph.D. in Mathematics from Princeton University, he combines deep theoretical expertise with a practical, product-centric approach to AI solutions. His career path includes roles in quantitative finance at AQR, core data science at Twitter, and entrepreneurial success as the co-founder of Notion.ai, an NLP-focused startup acquired by AppZen. Currently serving as the Director of AI Products at DocuSign, James spearheads the strategy and development of cutting-edge AI features, including contract intelligence and analysis, that deliver significant value to millions of users worldwide. He specializes in Natural Language Processing (NLP), machine learning, and transforming complex technical capabilities into tangible business outcomes.
James Rebesco's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-founded Notion.ai, a startup that utilized Natural Language Processing for advanced contract analysis. As the Head of Science, he developed the core AI technology that led to the company's successful acquisition by AppZen in 2017, showcasing his ability to build valuable, market-ready AI products from the ground up.
As a director at DocuSign, he has been a key figure in guiding the AI research and product teams. His leadership has been instrumental in developing and integrating sophisticated AI features, such as intelligent contract analytics and smart clauses, into DocuSign's core platform, enhancing its value proposition for a global user base.
Earned a doctorate in Mathematics from Princeton University, which provides him with a rigorous analytical and theoretical foundation that underpins his innovative work in the complex domains of data science and artificial intelligence.
Northwestern University - Year 2004
Caltech - Year 2000
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Striveworks is an MLOps (Machine Learning Operations) company that provides a platform called Chariot, designed to help organizations operationalize data science and machine learning models. They specialize in serving national security, defense, and other highly regulated industries, enabling them to build, deploy, and manage AI-powered solutions in complex, real-world environments.
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