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Applied AI Product@Stripe, ex-Google
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Assessing your cultural and operational fit
Results-oriented product management leader with experience launching, managing, and scaling products with revenue in billions of dollars in B2B and B2C. Expertise at defining product vision and strategy, leveraging customer and market insights, and leading cross-functional teams to build high-impact products. Strong background in data science and machine learning/AI modeling, and industry experience in retail, advertising, and marketing technologies.
University of California, Berkeley, Haas School of Business
Product Management Certification program
January 1, 2018 – Present
University of Southern California
Doctor of Philosophy (Ph.D.), Biomedical Engineering (Computational modeling and applied Machine Learning)
N/A – Present
Indian Institute of Technology, Madras
Bachelor of Technology, Mechanical Engineering
N/A – Present
Stripe
Staff Product Manager, Applied AI and Growth
September 1, 2024 – Present
San Francisco Bay Area
Expedia Group
Director of Product Management
August 1, 2023 – September 1, 2024
Senior Product Manager, Ads
June 1, 2021 – August 1, 2023
Product Manager, Google Cloud AI
May 1, 2019 – June 1, 2021
Machine Learning Consultant, Google Cloud
October 1, 2017 – May 1, 2019
Data Scientist, Google Cloud
October 1, 2015 – October 1, 2017
Boston Scientific Neuromodulation
Senior R&D Engineer
September 1, 2012 – October 1, 2015
Los Angeles Metropolitan Area
Cultural Fit Analysis
The candidate has a strong background in large, fast-paced tech environments (Google, Expedia, Stripe) and a diverse educational background. However, the target role is 'Data Analyst', which is a significant shift from their recent senior Product Management and AI/ML leadership roles. While they possess strong analytical and ML skills, the current career trajectory is heavily focused on product strategy and management, which may not align with a pure data analyst role. The breadth of skills is high, but the direct alignment with a data analyst role, especially at a senior level, is not immediately apparent from their recent experience.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in product management, including hiring, coaching, and managing teams, and creating organizational processes for cross-functional collaboration. This suggests strong leadership, communication, and strategic thinking skills. The transition from Data Scientist/ML Consultant to Product Manager roles indicates adaptability and a business-oriented mindset.