Sarah Aerni

Sarah Aerni is a seasoned technology leader with over 15 years of experience in Machine Learning, currently managing a team of 70+ data scientists and engineers focused on delivering and managing models in production.

Her strengths lie in bringing AI products to production, collaborating with cross-functional teams, and working closely with product managers to shape AI solutions.

With a strong focus on team dynamics and customer satisfaction, Sarah is dedicated to fostering a collaborative and quality-driven environment while emphasizing agile methodologies and engineering excellence in machine learning.

She has a wealth of experience in leading hybrid engineering and data science teams at Salesforce, where she oversaw the successful delivery of various AI products impacting billions of predictions daily.

Sarah has extensive experience in the tech industry, having led data science teams at Pivotal across various domains such as Healthcare, Financial Services, and Government Entities.

Educationally, Sarah holds a Ph.D. in Biomedical Informatics from Stanford University and has a background in Biology with a specialization in Bioinformatics from UC San Diego.

She has held key positions at Salesforce, including VP of Engineering AI, Industries & Revenue Cloud, Principal Architect, and VP of Technology AI/ML - Strategy + Ops, showcasing her expertise in AI and Machine Learning.

Sarah has also been actively involved in organizations such as Women in Machine Learning, where she served as a board member and held roles ranging from Sponsorship Chair to Vice President of AI/Machine Learning and Engineering.

Driven by a passion for building high-performing teams and delivering impactful machine learning solutions, Sarah is dedicated to adapting agile methodologies to the field of data science and enjoys working in diverse and challenging environments.