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Sarah Aerni
VP AI + Machine Learning, Generative AI, Former Pivotal, PhD Biomedical Informatics, Stanford, SAIL (Stanford Artificial Intelligence Laboratory)
Sarah Aerni is a prominent figure in the field of artificial intelligence and data science, currently serving as VP of Engineering AI, Industries & Revenue Cloud at Salesforce.4 With over 15 years of experience in machine learning, she has established herself as a technology leader in the industry.5
Career at Salesforce
Sarah has been with Salesforce since December 2016, progressing through various roles:
- Started as Senior Manager, Data Science, Einstein
- Became Director of Data Science
- Promoted to Senior Director AI / Machine Learning Engineering
- Currently serves as Vice President, AI / Machine Learning and Engineering5
In her current role, she leads an organization of data scientists, machine learning engineers, software engineers, and data analysts responsible for shipping Salesforce's AI and data science product suite for Sales Cloud, including generative AI products.5
Notable Achievements
- Led the development of Einstein Lead Scoring, which uses machine learning to predict lead conversion patterns5
- Spearheaded the creation of Sales GPT, a suite of generative AI products that enhance user productivity5
- Instrumental in delivering over 100 AI capabilities for Salesforce Industries, featured in the Dreamforce keynote4
Background and Education
- Holds a PhD in Biomedical Informatics from Stanford University, where she focused on research at the intersection of machine learning and the biology of cancer, aging, and development12
- Prior to Salesforce, she led healthcare and life science teams at Pivotal2
- Co-founded a company offering expert services in informatics to academia and industry2
Professional Involvement
- Member of the Board of Directors for Women in Machine Learning5
- Apache Committer for the MADlib project5
- Frequently speaks at conferences and participates in panels on AI and machine learning topics3
Sarah Aerni is known for her passion for agile data science and creating working environments that foster diversity and inclusion.1 Her expertise in automated machine learning and AI democratization has been instrumental in Salesforce's AI initiatives, making advanced technologies accessible to a wide range of customers.15


