Julia Kosheleva-Coats in

Julia Kosheleva-Coats

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VP & GM, Marketing AI/ML Algorithms at Salesforce
📍 San Francisco, California, United States

Julia is the VP & GM of Marketing AI/ML Algorithm Development at Salesforce, where she leads the strategy for AI-driven marketing. With over 20 years of experience, she specializes in building and deploying predictive models that generate revenue and optimize business processes. She holds a Masters degree from UC Berkeley.

Julia has shown a commitment to her community through involvement with San Franciscos affordable housing initiatives, contributing her expertise to organizations focused on housing development and support services.

She co-invented a patented system for fraud detection that uses an emotion-based deep learning model.

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Experience
26 Years
Current Role
VP & GM, Marketing AI/ML Algorithms
Job Level
Senior
Location
San Francisco, California, United States
Personality Overview

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Priorities

Topics Julia cares about

AI in B2B Marketing
Her focus is on using AI for marketing effectiveness, including multi-touch attribution (MTA) models and deep learning to navigate long B2B sales cycles and drive conversions.
AI Model Operationalization
Her career centers on the end-to-end development, deployment, and integration of predictive models into business processes to automate decisions and create measurable value.
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Career

Work history

8-2024
VP & GM, Marketing AI/ML Algorithms
Salesforce
8-2021 - 8-2024
Senior Director, Head of Marketing Data Science
Salesforce
2016 - 2021
VP, AI/ML Model Development for Marketing & Personalization, Chief Data Office
Wells Fargo
2014 - 2016
VP, Quantitative Marketing Analytics & Model Development, Wholesale Marketing
Wells Fargo
2012 - 2014
VP, Marketing Database Decision Strategy Consultant, Wholesale Marketing
Wells Fargo
In the press

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Education
Master's degree
University of California, Berkeley
Bachelor of Arts (B.A.)
San Francisco State University
Social presence
in
Behavioral profile

DISC profile (public)

DISC behavioral profile

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