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Amol Shah
Chief Revenue Officer at QuickNode
Amol Shah is a seasoned technology executive with extensive experience in sales, revenue growth, and business development. He served as the Chief Revenue Officer at QuickNode, a blockchain infrastructure company, from May 2021 to September 2022.12 During his tenure, Shah was instrumental in growing the company from a seed-stage startup with 10 employees to a successful Series A company with over 100 employees within a year.1
As QuickNode's first GTM (Go-To-Market) leader, Shah was responsible for sales, new business development, success, marketing, and business operations.1 His achievements at QuickNode include:
- Driving revenue growth by 20x
- Winning the company's first Fortune 500 clients
- Launching enterprise products
- Reporting directly to the CEO
Prior to QuickNode, Shah held significant positions at major tech companies:
- Head of US Disruptor Team at TikTok (2019-2021), where he grew the business from 0 to $80m+ run rate1
- Client Partner (Account Executive) at Facebook (2015-2019), covering major e-commerce and marketplace companies1
Shah's career also includes roles at Rocket Fuel Inc., McKinsey & Company, and Goldman Sachs.1 He holds an MBA from Harvard Business School, where he was a George F. Baker Scholar, and a Bachelor of Science in Economics from the University of Pennsylvania's Wharton School.1
Currently, Shah works in Go To Market at OpenAI, having joined the company in October 2023.12 In this role, he is involved in building the business side of OpenAI, one of the world's leading artificial intelligence research and technology organizations.12
Highlights
Had such a great time back at Penn, this time collaborating with Stefano Puntoni, co-director of AI at Wharton, speaking to students about how generative AI is being applied by enterprises rethinking their business processes. Was exciting to combine the research and the applied perspectives in one talk, and talk about how AI can be used to improve the customer experience and drive better business outcomes, sharing a recent OpenAI case study with Klarna.
Thanks to Alok Shah and the student organizers of Machine Learning Research (MLR@Penn) for organizing! Was a blast! #whartonAI
Better customer experience, improved accuracy, shorter resolution time. $40m in annual savings
Amazing case study today showing the impact AI can have on customer experience.
Incredible to see this published, reflecting the hard work of Thanos Chatzoglou and Vadim Slutskii!
- The AI assistant has had 2.3 million conversations, two-thirds of Klarna’s customer service chats
- It is on par with human agents in regard to customer satisfaction score
- Customers now resolve their errands in less than 2 mins compared to 11 mins previously
- It’s available in 23 markets, 24/7 and communicates in more than 35 languages
https://lnkd.in/g_cTtq99
