Navigating Data & AI: The Role of the Platform PM in Tech

Description

Overview:

From a PM's lens — examine real-world use cases, both internal and external, where data, AI and analytics are applied, and understand their evolution with the introduction of Gen AI. Discover how Platform PMs help build scalable, horizontal technical products for enterprise companies and enable them to deliver business value.

Key Takeaways:

1. Understand roles and responsibilities of a platform PM and how they help build world-class technical products.
2. Illustrate how data, analytics and AI platform teams operate and function in enterprise companies.
3. Analyze real-world use cases for data and AI in fintech companies.

Meet the Speaker:

Aindra has a master’s degree in Computer Science from Northeastern and an MBA from Boston University. Aindra worked as a software engineer for Dell's Enterprise Data Center division for a few years, and then decided to shift to platform product management. He realized early in his career that programming was not something he would enjoy doing for the rest of his life, as he wanted to solve technical problems on a larger scale and gain more visibility into how the solutions make an impact on the ground.

Since then, Aindra has worked in various small and large tech companies in the AdTech, EdTech, and social media sectors as a product manager (PM) focused on building highly scalable data and ML platforms. Most recently, Aindra was the PM on Twitter/X's Infrastructure team, responsible for all of the social media platform’s site stability. He was one of the last five PMs at X following the acquisition by Elon Musk.

Currently, Aindra is a Director of Product Management on the Data, AI & Cloud Platform team at BILL, a financial solutions SaaS platform for small and medium-sized businesses. Last year, around $250B was moved through BILL's platform—approximately 1% of the U.S. GDP and the highest for a non-bank fintech company. Aindra's role at BILL is to enable the company and its 500K customers to leverage data and AI to make better and faster business decisions.