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Rahul Pathak
Vice President, GenAI & AI/ML GTM - Helping customers innovate and succeed with GenAI and AI/ML on AWS
Rahul Pathak is a senior executive at Amazon Web Services (AWS) with extensive experience in database and analytics services.16 He recently transitioned to a new role as the leader of GenAI & AI/ML GTM at AWS, starting on June 3, 2024.6 Prior to this, he served as Vice President for Relational Engines at AWS, overseeing the Amazon Aurora, Redshift, and QLDB businesses.1
Pathak joined AWS in November 2011 and has held various leadership positions within the company.2 His career at AWS spans over 12 years, during which he has been involved in building and managing multiple database and analytics services.6 Some of his previous roles at AWS include:
- Vice President, Analytics (2020-2022)
- General Manager for Emerging Databases & Blockchain (2020)
- General Manager for Amazon EMR, Athena, RDS for Oracle, RDS for SQL Server, and AWS Blockchain Templates (2018-2020)
- General Manager for Amazon Elastic MapReduce (2016)
- Principal Product Manager for Amazon Redshift (2014)1
Before joining AWS, Pathak had entrepreneurial experience as the CEO & Founder of LookStat (2007-2011) and co-founder of Quova (1999-2002). He also held positions at Judy's Book, Wells Fargo, Advent International, and Monitor Company.1
Pathak has expressed gratitude for the opportunities and growth he has experienced at AWS, describing it as the best job he's ever had.23 He is known for his leadership in product management and has been involved in launching successful products and businesses at AWS.45
Highlights
After 12+ years building database and analytics services, today is Day 1 of a new role at AWS for me. I'm delighted to be leading our GenAI & AI/ML GTM Specialist teams to help our customers and partners succeed with GenAI on AWS.
GenAI represents a massive opportunity and we're just getting started - really looking forward to working and innovating with all of you in this transformational space!
Really proud to have GE Aerospace as an Amazon Redshift customer. (Especially cool for me personally as an aviation nerd.)
By using Redshift at the heart of their data mesh, GE Aerospace will save $500k/year and improve query performance by nearly 70% compared to their prior solution.
“We were seeing queries that used to run for an hour and a half running in 7 minutes using Amazon Redshift" - Bejoy John Senior Director of Data Analytics, GE Aerospace
Love seeing our customers succeed with Redshift. Excited to support them in getting even more value from their data.
https://lnkd.in/gqnQGfrd
